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Influence of Brand Activities through Social Media on Consumer Awareness

Due to its unique characteristics, digital marketing has become increasingly popular worldwide. The process has been made easier by digitalization, and social media channels have substantially increased the potential to enhance brand awareness. This plays a critical role in a brand’s position in the minds of consumers and is one of the most crucial stages of the Hierarchy Effects Model. Effective brand awareness is the starting point, and without it, it is impossible to improve a brand’s reputation or increase sales volume. Brand awareness is divided into “top of mind,” “unaided,” and “aided” conditions. Social media platforms, especially Facebook, offer specific campaign goals that are a possible way to improve brand awareness among customers and enhance the brand’s position in their consciousness. These campaigns provide companies with a particular metric, which is the estimated ad recall lift rate. This metric enables companies to understand how many people read the advertisement and how many of them will remember what they have read. However, the metric is quite general and does not take into account the various stages of brand awareness. Therefore, it is necessary to investigate how much the advertisement improves brand awareness and leads to purchases. It is also crucial to understand the importance of the frequency of the same campaigns on Facebook. This article aims to investigate the level of influence of brand activities through Facebook on consumers’ awareness and to what extent the platform has contributed to the process. Structured questionnaires were distributed to 54 respondents in Georgia to analyze their behavior and evaluate whether frequent activities on Facebook improved the position of the brand in consumers’ awareness. According to the results, frequent advertisements and brand activities have a considerable influence on consumers’ awareness, and it can be said that such activities directly provide the possibility of “unaided” brand awareness. However, it is essential to pay close attention to post impressions. The same activities on the same day have the potential to bring substantial negative consequences. Brands are recommended to deliver the same ads to the same consumers a maximum of three times per day to avoid negative consequences and snubs from consumers.

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Enterprise Risk Management Practices in Kenya

Enterprise Risk Management (ERM) is a structured and coordinated approach for identifying, assessing, and managing risks faced by an organization. Implementing ERM standards and frameworks has several benefits, including improving focus and perspective on risk. ERM aids in developing leading indicators to detect potential risk events and provide early warning signals. ERM also incorporates key metrics and measurements of risk to improve reporting value and analysis and monitor possible changes in risk vulnerabilities or likelihood. An ERM facilitates an efficient risk management (RM) process, allowing businesses to manage risks efficiently across various departments through a robust risk management framework. This framework includes the related department’s team, working rules, and operational tools, covering all types of risks, including financial, strategic, operational, and accidental losses. The primary advantage of ERM is its ability to create a systematic and intentional process for identifying and addressing risks, treating risk management as a structured exercise where liabilities are addressed as part of a comprehensive framework rather than ad-hoc problem-solving. ISO 31000, NIST risk management framework, and COSO ERM framework are widely used frameworks for managing enterprise risks. Implementing a robust enterprise risk management standard has a positive relationship with business performance.

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Can Culture Stimulate Innovation for Technopreneurship? A Grounded Theory Method

Among factors influencing and shaping innovation in different societies is the prevailing culture. Most forms of individualistic cultures affect innovation significantly and positively. key factors that influence innovation among early-stage startups are government interventions, innovation policy and financing. This study has three key objectives. The first is to examine how culture influences innovation among technology startups in Malaysia. The second objective is to explore factors associated with technology innovation. The third objective is to assess how innovation influence financing for technology startups. The study employs grounded theory as the main methodological approach to analyze primary data. A qualitative survey carried out a series of semi-structured interviews with technology entrepreneurs[1], relevant government agencies, industry associations, venture capitalists and leading accelerators. The study finds that culture can be an impediment to innovation. Factors such as collective culture and herd mentality behavior were identified as barriers to innovation and fear of failure was attributed to low entrepreneurial innovation. Entrepreneurial attitude, on the other hand, was identified as a significant quality that is positively related to innovation among technology startups. Data analysis reveals that technopreneurs who display a positive attitude, determination, perseverance and self-efficacy are more likely to display some form of innovation in their startup. These technopreneurs were more likely to be financed by venture capital funds and private or angel investors. Other factors that influence innovation are, the capacity to commercialize, overall entrepreneurship culture, incubators facilities and capabilities and market size. Based on the findings, the study offers a proposed framework that encapsulates elements, factors and components that affect innovation.

Open Access
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Can Culture Stimulate Innovation for Technopreneurship? A Grounded Theory Method

Among factors influencing and shaping innovation in different societies is the prevailing culture. Most forms of individualistic cultures affect innovation significantly and positively. key factors that influence innovation among early-stage startups are government interventions, innovation policy and financing. This study has three key objectives. The first is to examine how culture influences innovation among technology startups in Malaysia. The second objective is to explore factors associated with technology innovation. The third objective is to assess how innovation influence financing for technology startups. The study employs grounded theory as the main methodological approach to analyze primary data. A qualitative survey carried out a series of semi-structured interviews with technology entrepreneurs[1], relevant government agencies, industry associations, venture capitalists and leading accelerators. The study finds that culture can be an impediment to innovation. Factors such as collective culture and herd mentality behavior were identified as barriers to innovation and fear of failure was attributed to low entrepreneurial innovation. Entrepreneurial attitude, on the other hand, was identified as a significant quality that is positively related to innovation among technology startups. Data analysis reveals that technopreneurs who display a positive attitude, determination, perseverance and self-efficacy are more likely to display some form of innovation in their startup. These technopreneurs were more likely to be financed by venture capital funds and private or angel investors. Other factors that influence innovation are, the capacity to commercialize, overall entrepreneurship culture, incubators facilities and capabilities and market size. Based on the findings, the study offers a proposed framework that encapsulates elements, factors and components that affect innovation.

Open Access
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Usage of Electronic Public Services in Bulgaria

The digitalization of services provided by public institutions can substantially reduce the costs of citizens’ interactions with these institutions, like travel and waiting times. It can also increase the efficiency of providing these services. Despite the benefits, Bulgaria still lags behind most European Union countries regarding the use of e-government services. Only 36% of the Bulgarian internet users access e-government services, compared to an EU average of 64%. While the supply side of the public e-services is regularly the focus of general discussions, little is known about the demand for e-services in Bulgaria. This paper contributes to understanding the usage patterns of e-services provided by governmental, healthcare, and educational institutions. We link the propensity of using the three different types of e-services to the socio-demographic and economic characteristics of the respondents within a multilevel logistic regression model using data from a sample of Bulgarian internet users. The results show that persons with low educational attainment, low self-reported digital technology skills, and lack of experience with commercial electronic services are less likely to use any of the three types of public e-services. Respondents living in rural areas or small towns were also less likely to access public e-services. Furthermore, the model reveals a regional variation that can help focus information campaigns about e-services.

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