Digital Content Management
Sadegh Mohammadi; Behrooz Ghasemi; Sohail Sarmadsaeid
Abstract
The current research was conducted with the aim of exploring the direction of the market of exported merchandise based on competitive intelligence in the era of digital economy among sample exporting companies. In order to carry out the research, a qualitative approach was adopted. The method used in ...
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The current research was conducted with the aim of exploring the direction of the market of exported merchandise based on competitive intelligence in the era of digital economy among sample exporting companies. In order to carry out the research, a qualitative approach was adopted. The method used in this research is database theory. Sampling was a purposeful judgment and was followed until theoretical saturation was reached, which included a total of 10 exporting sample companies. The systematic process of the research included open coding, axial coding and selective coding, which was done using the strategies of analysis, questioning, comparison, reminders, schemas and paradigms. A revision was made while coding; The classification was done by confirming the results through reference to the subjects. The findings showed the paradigmatic pattern of export market orientation based on competitive intelligence in the era of digital economy including 6 main categories of causal conditions, context, phenomenon or central category, intervening conditions, strategies and the consequences. Causal conditions have 3 sub-categories of learning abilities promotion of customer-oriented culture, knowledge of export technology and R&D processes and identification of export market needs; background conditions include three sub-categories of competitive thinking, competitive export processes (technical evaluation) and competitive governance; intervening conditions include three sub-categories of market technical structure (new technologies), environmental uncertainty and global markets (export risks); the central phenomenon has three sub-categories of value chain (reward strategy), human resource empowerment and employee training (export intelligence); The strategies include three sub-categories of competitive value creation,
Mohammad Satarifar; Mohammad Feghhi; Javid Bahrami; Morteza Borjloo
Abstract
Purpose: This research aimed to identify some of the existing financial frictions in the Iran's digital economy. In particular, based on cases taken from digital and knowledge-based companies, it empirically investigated the importance of the role of base volume in the liquidity of those companies' stocks ...
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Purpose: This research aimed to identify some of the existing financial frictions in the Iran's digital economy. In particular, based on cases taken from digital and knowledge-based companies, it empirically investigated the importance of the role of base volume in the liquidity of those companies' stocks in Tehran Stock Exchange.Method: To evaluate the empirical implications of applying the base volume in daily stock market practice, retrospectively a quantitative estimate of the base volume was implied by the economic model within the rules imposed by the market regulator via MATLAB software programming. Then, using the Generalized Method of Moments (GMM), the effects of the estimated base volume, percentage of free-floating share, securities turnover, and the ratio of transaction volume to base volume on Amihud index were econometrically studied for the selected companies during the period 2015-2020.Findings: The findings indicate that the applying base volume on the selected digital and knowledge-based companies has had a negative effect on the calculation of the final price and on the liquidity of studied knowledge-based companies. Also, the results of using the machine learning method (decision tree) showed a importance coefficient of 32.6% for the base volume on the Amihud index of the selected companies.Conclusion: Our results suggest that base volume as an idiosyncratic financial friction induced by Iranian stock market regulator has aggravated the illiquidity of studied digital and knowledge-based companies and thereby could have raised the financing costs for those companies. This would ultimately impede those companies’ growth prospect.
Kobra Bakhshizadeh Borj; Hamed Nasiri; Ali Akbari
Abstract
Mobile games are getting a lot of attention as a content-based sector of the digital economy. Especially considering "Free with In-App Purchase" as the mainstream business model of these games, designing the right economic structure to monetize the content of mobile games is crucial. However, there is ...
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Mobile games are getting a lot of attention as a content-based sector of the digital economy. Especially considering "Free with In-App Purchase" as the mainstream business model of these games, designing the right economic structure to monetize the content of mobile games is crucial. However, there is limited knowledge about the mechanisms of persuading users to pay for in-game content and most of the studies are merely focused on the revenue models. Due to this knowledge gap, this study attempts to aggregate the game monetization methods into a multi-level classification and focus on identifying the main content monetization mechanics of five genres: Arcade, Sport, Puzzle, Racing, and Platformer/ Runner. For this purpose, interviews were conducted by game design and economics experts about successful mobile games. As a result, a new multi-level classification for mobile games revenue models is proposed which includes monetization via selling core items, selling performance items, and providing supplementary services in addition to retailing and in-game advertising. It also became clear that monetization mechanics for each of these methods vary in different genres and change depending on the type of game. The results of this study can be useful for digital game researchers, designers, and marketeers to structure a better revenue stream.
