Innovation and Performance in Latin-American Small Family Firms

Maldonado-Guzmán, Gonzalo; Marín-Aguilar, José Trinidad; García-Vidales, Marisela

doi:10.18488/journal.aefr.2018.87.986.998

Cited by 15 publications

(7 citation statements)

References 63 publications

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“…Similar case is observed for the overall industry of consumer goods, where AI impact is not good [41]. Additionally, in financial sector again the effect of AI is significantly negative [42]. However, for whole sale and retail industry, effect of AI is .941, showing a positive and significant influence at 1 percent.…”

Section: Empirical Assessment Of Economic Impact Of Aisupporting

confidence: 71%

Economic Impact of Artificial Intelligence: New Look for the Macroeconomic Assessment in Asia-Pacific Region

Haseeb¹,

Sasmoko²,

Mihardjo³

et al. 2019

IJCIS

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To determine the impact of artificial intelligence (AI) on the selected economies in the Asia-Pacific region. Methods: This secondary research collected data from macroeconomic and AI-specific data sets. The sources of data from which insights were gained included digital technology sectors and corporations and their functions. The focus was on the need to assess the capability of AI on business operations The macroeconomic data was collected from data resources of international organizations' including the World Economic Forum, the Organization for Economic Cooperation and Development (OECD), the World Intellectual Property Organization (WIPO), and the International Telecommunication Union (ITU). In addition, this study has considered 19 economic indicators to analyze the economic outcome of AI in selected economies of Asia-Pacific. Results: From the results, the period between 2014 and 2016 witnessed China leading with over 25,000 citable documents on the AI topic. Regarding institutions that were observed to publish over 500 times on the AI topic, the countries in the ascending order include China (600), Hong Kong (1,100), and Singapore (2,000). As such, this study established that Asia-Pacific economies such as Hong Kong and Singapore though have smaller populations, but the majority of their higher education institutions have made a significant contribution to AI research; with the small economies also having a relatively higher number of computer scientists among the top 1,000 individuals. Additionally, through empirically analyses, during 1998-2016 with annual observations, it is found that various economic outcomes of AI were presented in 8 economies of targeted region. Limitations: At first, the future outlook of AI is just discussed in conceptual meaning while empirical context still needs to be examined in upcoming studies. At second, covering the overall South Asian region provides better findings with more generalization which is missing in current research. At third, other dimensions of AI and economy like implication of AI impact index and its relationship with macroeconomic variables is also missing in current research which could be reconsidered in coming studies. Conclusion: It is evident that AI exhibits the potential to be the main driver of Asia-Pacific's economic growth. Relative to the net and gross effect of AI on labor markets and the gross domestic product (GDP) of the top Asia-Pacific economies demonstrate that by 2030, AI might yield a 16-percent increase in output, translating into an estimated amount of $13 trillion. Overall, it is concluded that Asia-Pacific, when compared to developed regions such as North America, is lagging but the availability of a large pool of user data implies that the region can move ahead-given better resource and talent allocation.

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Section: Empirical Assessment Of Economic Impact Of Aisupporting

confidence: 71%

Economic Impact of Artificial Intelligence: New Look for the Macroeconomic Assessment in Asia-Pacific Region

Haseeb¹,

Sasmoko²,

Mihardjo³

et al. 2019

IJCIS

View full text Add to dashboard Cite

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“…A common definition of risk is the likelihood of undesirable events or transactions that happen at a time that would adversely affect the achievement of objectives (Note 1). Meanwhile, risk management involves the process of identifying key risks, analyse the risks and establishing procedures to monitor the risk (Aven, 2016;Maroofi, Ardalan, and Tabarzadi, 2017;Kucukkocaoglu and Bozkurt, 2018;Maldonado-Guzman, Marin-Aguilar and Garcia-Vidales, 2018). The need for the risk management has increased since the global financial crisis of 2007 -2009.…”

Section: Introductionmentioning

confidence: 99%

Examining the Relationship Between Enterprise Risk Management and Firm Performance in Malaysia

Ali¹,

Hamid²,

Ghani³

2019

IJFR

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This study aims to examine the relationship between enterprise risk management (ERM) implementation and firm performance in Malaysia. Using the sample from 2010 to 2016, this study examines the relationship between ERM and firm performance among Malaysian top 100 public listed firms registered on the Index FTSE Bursa Malaysia 100 (FBM100) KLSE. This study also provides comparisons before and after the introduction of Bursa Malaysia Guidelines 2013. This study shows a positive and significant coefficient between profitability and firm performance towards ERM implementation. However, this study shows insignificant relationship between firm size, financial leverage and audit firm with firm performance. This study also shows that there is an increase in the mean score and standard deviation of these variables after the implementation of Bursa Malaysia Guideline 2013. The findings in this study provides an understanding to the Malaysian public listed firms on the importance of ERM and subsequently, maximise the benefits of ERM especially after the introduction of Bursa Malaysia Guidelines 2013 for the benefits of their stakeholders and regulatory improvement in future.

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“…The success factor in the business enterprise depends upon many elements where some are under the control and some are beyond the grip of the management. These factors are the ability of the business to acquire desired level of organizational knowledge [12], distribution or dissemination of organizational knowledge [13,14], and finally the response towards the organizational knowledge [15][16][17][18][19][20][21][22][23][24][25][26]. However, various issues have been recognized in the earlier research studies as associated to KM in the business.…”

Section: Introductionmentioning

confidence: 99%

Strategic Management of Organizational Knowledge and Employee's Awareness About Artificial Intelligence With Mediating Effect of Learning Climate

Baslom¹,

Shu²

2019

IJCIS

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This study has aimed to examine the empirically relationship between strategic management of organizational knowledge and awareness about artificial intelligence (AI) through mediating effect of learning climate in service sector of Saudi Arabia. For better understanding, a structural questionnaire was developed, and both questionnaire and interview techniques were applied to collect the data from targeted respondents. Statistical methods like confirmatory factor analysis, structural equation modeling and mediation technique were applied to check the direct and indirect effects with overall valid responses of 390. Findings under factor analysis specify that all the indicators of strategic management of knowledge, learning climate and awareness about AI have demonstrated good factor loadings. Additionally, results under structural equation model for strategic management of knowledge and awareness about AI indicates that knowledge acquisition, knowledge dissemination and knowledge responsiveness have their significant and positive relationship with AI awareness. While mediating effect of learning climate (LC), shows that relationship between knowledge acquisition and AI, between knowledge dissemination and AI is significantly mediated by LC under full sample. While mediating effect of LC between knowledge responsiveness and AI is not significant. In addition, practical implications of this study reveals the fact that management in all three layers of the business firms should consider these findings and positive role by learning climate to promote awareness about AI. However, this study has observed several limitations. At first overall impact of strategic management of knowledge is yet to be explored as this study has examined its impact through knowledge acquisition, dissemination, and responsiveness factors under sperate models. At second, study has a regional limitations and specific organizational implications only for the service sector is observed. At third, earlier studies have raised serious concern over data collection through questionnaire as it covers only one dimensions of employee's attitude. Other instruments like open ended non-structural interview should be reconsidered in more significant manner. Future studies could be reimplemented on similar topic while addressing these limitations.

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Innovation and Performance in Latin-American Small Family Firms

Cited by 15 publications

References 63 publications

Economic Impact of Artificial Intelligence: New Look for the Macroeconomic Assessment in Asia-Pacific Region

Economic Impact of Artificial Intelligence: New Look for the Macroeconomic Assessment in Asia-Pacific Region

Examining the Relationship Between Enterprise Risk Management and Firm Performance in Malaysia

Strategic Management of Organizational Knowledge and Employee's Awareness About Artificial Intelligence With Mediating Effect of Learning Climate

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