scholarly journals Branding and the Risk Management Imperative

2018 ◽  
Vol 10 (1) ◽  
pp. 10-17 ◽  
Author(s):  
Susan Fournier ◽  
Shuba Srinivasan

Abstract In an increasingly risky socioeconomic environment, management needs to proactively consider brand-related risks. To understand brands as tools for risk management, they need to understand four types of brand risk: brand reputation risk, brand dilution risk, brand cannibalization risk and brand stretch risk. Risk management is not a natural act for brand managers trained in astute execution of the 4 Ps, and contemporary market factors make this more challenging still. With an increasingly polarized society, it is almost impossible for brands to remain untouched by ideologies. In addition, the growth in digital advertising gives brand managers less control over advertising placement and context, and the mandate to keep growing adds executional risk. The more exposed a brand is to brand risk, the more attention this topic will need in the boardroom. To shift a company’s marketing philosophy toward risk, it is important to define marketing competences in a broader way, to be self-critical and to be proactive.

2020 ◽  
Vol 5 (1) ◽  
pp. 90
Author(s):  
Keny Prasetyo Rini ◽  
Tuti Zakiyah

The purpose of this research is to determine te influences of independent commissioners, auditor reputation, risk management committee, leverage and firm size on enterprise risk management disclosure in index LQ45 companies listed in the 2016-2018. The samplimg method in this research is purposive sampling with 81 companies as population and 27 companies as samples. The ERM practice is measured based on ERM index, which considers the eight dimension of ERM by COSO framework. The results of simultaneous regression analysis show that the variables of independent commissioner, auditor reoutation, risk manegement committee, leverage and firm size have positif effects on the enterprise risk management disclosure. Partial testing shows that variabel of independent commissioner, risk management commite and firm size does not effect enterprise risk management disclosure. Auditor reputation and risk management committee have positive effects on enterprise risk management.


2018 ◽  
Vol 39 (1) ◽  
pp. 61-64 ◽  
Author(s):  
Peter Buell Hirsch

Purpose Artificial intelligence and machine learning have spread rapidly across every aspect of business and social activity. The purpose of this paper is to examine how this rapidly growing field of analytics might be put to use in the area of reputation risk management. Design/methodology/approach The approach taken was to examine in detail the primary and emerging applications of artificial intelligence to determine how they could be applied to preventing and mitigating reputation risk by using machine learning to identify early signs of behaviors that could lead to reputation damage. Findings This review confirmed that there were at least two areas in which artificial intelligence could be applied to reputation risk management – the use of machine learning to analyze employee emails in real time to detect early signs of aberrant behavior and the use of algorithmic game theory to stress test business decisions to determine whether they contained perverse incentives leading to potential fraud. Research limitations/implications Because of the fact that this viewpoint is by its nature a thought experiment, the authors have not yet tested the practicality or feasibility of the uses of artificial intelligence it describes. Practical implications Should the concepts described be viable in real-world application, they would create extraordinarily powerful tools for companies to identify risky behaviors in development long before they had run far enough to create major reputation risk. Social implications By identifying risky behaviors at an early stage and preventing them from turning into reputation risks, the methods described could help restore and maintain trust in the relationship between companies and their stakeholders. Originality/value To the best of the author’s knowledge, artificial intelligence has never been described as a potential tool in reputation risk management.


2019 ◽  
Author(s):  
Diana Hasan ◽  
Sunarti .

ThisresearchwasconductedatBankSyariahX.PrimarydataobtainedfromInterviews and Focus Group Discussion (FGD), was conducted by inviting several speakers to obtain information and discuss to obtain an explanation of how Financial Technology risk management in Banking services in Islamic Banks. Furthermore, the results of the Risk Management Analysis of Murabahah Financing at Syariah X Bank were found to be the factors that caused the occurrence of financing risks including HR (Human Resources) risk and operational risk. First, Liquidity Risk. Second, operational risk. Third, Legal Risk and Fourth, Reputation Risk. The findings indicate what factors occur and result in Risk in Financial Technology in Banking services and how to evaluate risk management in Syariah X Bank. Bank Syariah X implements several methods of Risk Management based on Bank Indonesia Regulation No. 13/23 / PBI / 2011 concerning the application of Risk Management. With such results, the author recommends that there is a need to prepare regulations relating to FinTech for more modern and safe Islamic banking services so that risks can be minimized and customers increase their understanding and knowledge for the convenience and security of transactions in Islamic banking. Furthermore, more rigorous and good steps need to be taken to manage risk-related problems in an effort to maintain the performance and performance of Islamic banks in maintaining their professionalism and improving their quality to be superior to other banks.


Author(s):  
Dr. Irwan Ibrahim

The purpose of this study is to examine the influence of environment management practices towards supply chain risk management. This study is conducted to find the relationship between environment variables and relate factors that influence supply chain risk management. The research will explore the dimension environment management practices that are technological, organizational and environmental aspect of environment management towards the supply chain risk management model. The paper theoretically develops logic for that environmental management practices is an important factor towards supply chain risk management in order to remain competitive in the challenging and competitive business environment.


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