scholarly journals Artificial Intelligence and 5G Mobile Technology Can Drive Investment Opportunities in Emerging Markets

10.1596/33388 ◽  
2019 ◽  
Author(s):  
Peter Mockel ◽  
Baloko Makala
Keyword(s):  
Artificial Intelligence ◽  
Emerging Markets ◽  
Mobile Technology ◽  
Investment Opportunities

Mobile Technology for Knowledge Management

2011 ◽  
pp. 1625-1632
Author(s):  
Volker Derballa ◽  
Key Pousttchi
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Management ◽  
Data Warehouse ◽  
Mobile Technology ◽  
Business Processes ◽  
Technological Infrastructure ◽  
It Support ◽  
Mobile Processes ◽  
Design Requirements ◽  
Mobile Context

IT support for knowledge management (KM) is a widely discussed issue. Whereas an overemphasis on technology is often criticized, the general consensus is that a well-balanced combination of technical and social approaches can be a rewarding departure (Alavi & Leidner, 1999). The usage of knowledge management systems (KMSs) (i.e., information systems including for example data warehouse techniques and artificial intelligence tools) is seen as a factor that can beneficially support different KM processes (Frank, 2001; Wiig, 1995). Due to the fact that an increasingly large proportion of work is not conducted in the context of stationary workplaces anymore, it becomes necessary to make KMSs available to those mobile workers (Rao, 2002; Sherman, 1999). Considering the different technological infrastructure in the stationary, as well as the mobile context, a KMS that so far is only available at a stationary workplace cannot simply become mobile without any changes. Further, the aspect of mobility implies specific design requirements for KMS. Taking together the rapid developments in the field of technology, allowing more and more mobile processes to be potentially supported through mobile KMS, as well as the current social and occupational developments, resulting in more mobile workplaces and business processes (Gruhn & Book, 2003), the relevance of mobile KM can be expected to increase in the future.

scholarly journals Dividend policy and market value of banks in MENA emerging markets: residual income approach

2020 ◽  
Vol 4 (1) ◽  
pp. 25-45
Author(s):  
Akram Ramadan Budagaga
Keyword(s):  
Emerging Markets ◽  
Dividend Policy ◽  
Market Value ◽  
Residual Income ◽  
Content Type ◽  
Financial Firms ◽  
Market Values ◽  
Investment Opportunities ◽  
Income Approach ◽  
Residual Income Approach

PurposeThis study will examine the impact of cash dividends on the market value of banks listed in Middle East and North African (MENA) emerging countries during the period 2000–2015.Design/methodology/approachThe current study adopts residual income approach based on Ohlson's (1995) valuation model. By testing different statistical techniques, fixed effect is applied on panel data for (144) banks listed on 11 MENA stock markets over the period 2000–2015. Furthermore, additional tests are applied to confirm the primary results.FindingsThe analysis reveals that current dividend payouts and dividend yield do not provide information relevant to the establishment of market values in MENA emerging markets; thus, they have no material impact on MENA banks' market values. This lack of current dividend payment effect is consistent with Miller and Modigliani (1961) dividend irrelevance assumption: there is no evidence of either an informational or real cash inflow effect of current dividend payments. The findings of this study can be attributed to the fact that MENA banks may be forced to place more emphasis on allocating money for investment instead of paying dividends given them they are subject to liquidity requirements for investment, expansion, general operations and compliance with regulations. Only after all these financial needs are covered can the remaining surplus be distributed as cash dividends. Therefore, cash dividends represent earnings residual rather than an active decision variable that impacts a firm's market value. This is consistent with the residual dividend hypothesis, which is the crux of Miller and Modigliani (1996) irrelevance theory of dividends.Research limitations/implicationsThe current study is restricted to a sample of one type of financial firms, banks, because of the problem of missing data and limited information related to other financial firms for the same period. Therefore, further research could be additional types of financial firms such as insurance firms that play a vital role in MENA emerging economies.Practical implicationsThe results of this study have some important implications for banks' dividend policymakers. Dividend policymakers in MENA emerging markets seem to follow residual dividend policy, in which they distribute dividends according to what is left over after all acceptable investment opportunities have been undertaken. This makes for inconsistent and unstable dividend policy trends, making it difficult for investors to predict future dividend decisions. Further, this practice may deliver information to shareholders about a lack of positive future investment opportunities, and this may negatively affect the share value of banks.Originality/valueThis study is the first of its kind – up to the author's knowledge – that examines a large cross-country sample of MENA banks (144) to cover a long time period in the recent past, and, more importantly, after the banking sector in the region has experienced major transformations during last two decades. In addition, most of the MENA region countries included in this study, namely, banks, operate in tax-free environments (there are neither taxes on dividends nor on capital gains). This feature adds complexity to the ongoing dividend debate.

scholarly journals Artificial Intelligence assisted Prediction of COVID-19 Hotspots in Third Wave using EHTERAZ

2021 ◽  
Author(s):  
Mustafa Ahmed ◽  
Mohammed Houkan ◽  
Kishor Kumar Sadasivuni
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Mobile Technology ◽  
Hot Spots ◽  
Mobile Application ◽  
Local State ◽  
Third Wave ◽  
Time Data ◽  
Policy Makers ◽  
Real Time Data

The present study conceptualizes fusion of artificial intelligence and contract tracking mobile application for predicting the COVID-19 hot spots. The findings suggest that mobile technology can be used to provide real-time data on the national and local state of the pandemic, enabling policy makers to make informed decisions in a quickly moving pandemic.

scholarly journals Innovative Business Models: Emerging Markets Perspective

2018 ◽  
Vol 6 (1) ◽  
pp. 1-2
Author(s):  
Owais Ahmed
Keyword(s):  
Emerging Markets ◽  
Business Model ◽  
Emerging Economies ◽  
Business Models ◽  
Work Force ◽  
Distribution Channels ◽  
Innovative Technology ◽  
Facilities Layout ◽  
Investment Opportunities ◽  
Utility Services

Emerging markets opened up humungous investment opportunities across different sectors like telecommunication, utility services, logistics, healthcare, and banking. Marketers invest millions in creating facilities, layout, capital, work force, communication programs, and distribution channels. However, marketers having compatible business model meet success. Business model meeting regional sensitivities, requirements; conform norms, procedures; break even. Therefore, a part from innovative technology, innovative business model create successful venture. The current study would explore various business models in emerging economies like Middle East, India, Kenya. Also, implications, challenges and suggestions would be part of the study.

Mitigating microfinance marketing channels inefficiencies with customerization of mobile technology

2018 ◽  
Vol 35 (4) ◽  
pp. 619-636 ◽  
Author(s):  
Esi Abbam Elliot ◽  
Benjamin Ngugi ◽  
Charles A. Malgwi
Keyword(s):  
Emerging Markets ◽  
Mobile Technology ◽  
Emerging Market ◽  
Research Question ◽  
Marketing Channel ◽  
Marketing Channels ◽  
Channel Structure ◽  
Mobile Marketing ◽  
Content Type ◽  
Market Inefficiencies

Purpose The purpose of this paper is to investigate how technological innovations mitigate inefficiencies in marketing channels in the context of microfinance markets in emerging markets. By examining in detail, specific market inefficiencies that inhibit the efforts of micro and small enterprises to access microfinance in emerging markets and the use of technology to alleviate these failures, the authors bridge the literatures on marketing channel inefficiencies and technological innovation relevant to emerging markets. Design/methodology/approach The authors use a qualitative method in the form of phenomenological interviews and participant observation in Ghana, West Africa, to investigate the research question. Findings The three themes that arise from the findings are: channel structure and structure selection; power-dependence relationships and relational outcomes; and conflict mechanisms and control behaviors. Customerization of technology is observed to mitigate inefficiencies in mobile marketing channels by facilitating data sharing, reminders, peer referencing and other marketing strategies of awareness, affordability, access and scalability. Research limitations/implications The limitations of this study are the fact that the context of the study is only one emerging market country – Ghana. This market is however experiencing dynamic changes in mobile technology innovations that is revolutionizing the microfinance industry. Practical implications Mobile money innovations have advanced the scope of marketing channels to the point that an updated perspective of the role of mobile technology in mitigating marketing channels inefficiency is both appropriate and timely. Originality/value The authors make the contribution of customerization as an aspect of mobile technology that is a key enabler in microfinance marketing channels, serving to mitigate microfinance market inefficiencies. Additionally, the study augments theories on the marketing channels framework by contributing perspectives on mobile technology.

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