Artificial Intelligence Market Research Articles

The Influence of Artificial Intelligence Marketing on Consumer Purchase Intentions The Mediating Roles of Hedonic and Utility Values

Artificial intelligence (AI) has changed the game for companies all around the globe. The impact of AI in many areas, including personal behaviour, corporate economics, and new trends, has been the subject of a great deal of research. This study examined the factors—accuracy, insight, interaction, perceived usefulness, and hedonic value—that people use to form opinions on AI and how those opinions impact their intents to buy things online. It delves further into the connection between AI technology and purchase intention, specifically looking at the mediating role of hedonic value. Quantitative method was used in this study, surveying people in Punjab, Pakistan, utilizing Google Forms, social media, and WhatsApp to disseminate self-administered surveys. A total of 450 respondents successfully completed the survey. The findings highlighted the significant impact of AI marketing on consumer purchase intentions. Mediating role of Hedonic Value and Utility is found significant. Resultantly, AI marketing encounters greatly boost the hedonic value of items or services, resulting in consumers finding these interactions engaging and pleasurable.

Connectedness between artificial intelligence, clean energy, and conventional energy markets: Fresh findings from CQ and WLMC techniques

In line with achieving the objectives of COP27 and SDG7, this paper examines the interdependence of the Artificial Intelligence market, clean energy, and conventional energy markets from 19th December 2017 to 5th May 2023 by using Cross-Quantilogram (CQ) and Wavelet Locale Multiple correlations (WLMC) techniques. Heatmaps of CQ show a bidirectional relationship between the AI market and clean energy at lag one with negative cross-quantile dependence evident throughout most quantiles, especially in normal market conditions. It also indicates a positive relationship between AI return rates and the clean energy market, but only when both datasets are in the same extreme quantiles (10th and 90th). Additionally, WMLC results reveal that time, scale, and investment horizons influence the interaction between AI and clean and non-clean energy industries. A considerable positive association exists between the AI market and traditional energy markets, ranging from 0.6 to 0.8. However, during the pandemic, this dependency turned negative, and it has since been minor, with an uptick in co-movement during Russia – Ukraine conflict. Several policy implications are suggested for the clean energy and conventional energy markets in line with AI.

The Applicability of Artificial Intelligence Marketing for Creating Data-driven Marketing Strategies

The purpose of this paper is to explore the applicability of AI marketing for creating data-driven marketing strategies. Notably, the paper illustrates the existing circumstances of artificial intelligence in marketing practice. Besides, this paper argues for awareness of AI for customer satisfaction, employing AI to improve positioning, applying AI for accurate decision-making, and utilizing AI for sales, cost, and risk reductions. Lastly, this paper compares the applicability of AI marketing within two major regions from four regions identified in the study. A two-step approach was used to address the research question. First, a systematic literature review was conducted to identify the knowledge gap. Second, primary research through a survey study was conducted. Respondents of the primary study were represented by 367 marketing practitioners with 22 different marketing professions, representing 11 countries from 18 different industries, mainly from the Baltic and Caucasus regions. Based on findings and analysis, conclusions, limitations, and concepts for the future study were highlighted. The findings synthesized AI drivers, barriers, and outcomes in marketing. Further, outcomes confirmed a positive relationship with unitizing AI marketing in long-term strategic marketing planning. The paper offers practical guidance to the companies or inspires marketing leaders to use AI in data-driven marketing strategies. It has a significant value due to the complexity of the current marketing environment, whether micro or macro. Marketing Practitioners are searching for added value to prove the applicability of AI marketing in everyday strategies for decision-makers.

Dot-com and AI bubbles: Can data from the past be helpful to match the price bubble euphoria phase using dynamic time warping?

The article investigates the existence of a price bubble in the artificial intelligence market, employing the Generalised Supremum Augmented Dickey-Fuller test and dynamic time warping methodology. It proposes a method to detect the end of the price bubble euphoria phase, generating an average profit of close to 7 % over 5 days and over 10.5 % over 20 days, with almost 90 % effectiveness. The study found that the AI market experienced a phase of euphoria due to the COVID-19 pandemic. Four companies – META PLATFORMS, WORKDAY, SALESFORCE and NVIDIA CORPORATION – were identified, whose stock prices currently resemble the euphoria phase.

Building up an artificial intelligence industry in Russia: problems and prospects

Artificial intelligence (AI) is one of the most important areas of scientific and technological progress in many countries, including Russia. This technology is included in national innovation development programs, since its mass implementation can double economic growth. The transition to the sixth technological order has begun, in which AI-based technologies will play an important role. Government programs for the development of AI are becoming an important element of the growth of national economies and national security. AI technologies can significantly increase the economic efficiency of those industries where they will be introduced, primarily in the real sector, in medicine, transport, and weapons. The introduction of AI technologies in these industries can have a multiplier effect in related sectors of the economy, e.g. in education. The creation of high-tech jobs is an important intermediate result of the entire complex of measures for the development of AI technology. The article focuses on the study of state incentives for the development of the artificial intelligence industry in Russia. The state supports the industry mainly through national programs, legal regulation, and budget injections. The author maintains that the AI development and implementation system can be improved by following certain principles. The availability of state support can stimulate the emergence of new players in the artificial intelligence market, which, in turn, could lead to accelerated development of the sector.

The Influence of Differentiation Strategy, Market-Driven and Artificial Intelligence Marketing on Sustainable Competitive Advantage With School Image as an Intervening Variable Moderate by Vocational School Culture In the City of Balikpapan

The Influence of Differentiation Strategy, Market-Driven and Artificial Intelligence Marketing on Sustainable Competitive Advantage With School Image as an Intervening Variable Moderate by Vocational School Culture In the City of Balikpapan

“(Özel Sayı)”The role of perceived risk and trust in the effect of artificial intelligence marketing technology on online purchase intention

Yapay zekâ pazarlama teknolojisi, çevrimiçi alışveriş yapan tüketicilere kişiselleştirilmiş satın alma deneyimi, işletmelere ise müşteri ihtiyaçlarını etkin bir şekilde karşılama imkanı tanımaktadır. Bu çalışma, yapay zeka pazarlama teknolojisi deneyiminin, çevrimiçi satın alma niyeti üzerindeki etkisinde ilgili teknolojiye olan güvenin ve algılanan riskin rolünü ortaya koymak amacıyla yapılmıştır. Bu bağlamda yapay zeka pazarlama teknolojisinin deneyimsel unsurları doğruluk, içgörü ve etkileşim olmak üzere üç boyutta ele alınmış; güven, algılanan risk ve satın alma niyetinin de dahil olduğu SOR modeline dayanan kavramsal bir model geliştirilmiştir. Ardından çevrimiçi alışveriş geçmişi bulunan kişilere çevrimiçi anket yöntemi ile 480 örnek hacimli nicel bir çalışma gerçekleştirilmiştir. Kartopu örnekleme yöntemi ile toplanan veriler, SmartPLS 4 programı kullanılarak Kısmi En Küçük Kareler Varyans Temelli Yapısal Eşitlik Modellemesi (PLS-SEM) ile analiz edilmiştir. Sonuçlar, içgörü ve etkileşim deneyiminin teknolojiye olan güveni pozitif bir şekilde etkilediğini, doğruluk deneyiminin ise güven üzerinde herhangi bir etkisi olmadığını göstermiştir. Ayrıca tüketicilerin risk algılarının azalmasında yapay zeka pazarlama teknolojisinin deneyimsel unsurlarının tamamının pozitif bir etkisi olduğu tespit edilmiştir. İçgörü deneyimi, tüketicilerin güven ve risk algılarında belirleyici deneyimsel unsur olarak tanımlanmıştır. Güven, çevrimiçi satın alma niyeti pozitif ve anlamlı bir şekilde etkilerken aynı etki algılanan risk bağlamında gerçekleşmemiştir

Artificial intelligence marketing and customer satisfaction: An employee job security threat review

Artificial Intelligence (AI), is one of the key innovations created by Information System (IS) in the 21st century. The technology operates on an interconnected network which facilitates marketing decisions. AI role in marketing is quite enormous, as customers’ needs and wants are efficiently met, with customers satisfied and employees sustainably engaged, towards future relationship with the firm. In-spite of its proficient value addition, there are outstanding issues which firms’ employee are dissatisfied with the deployment of AIM, in organizational operations, these includes; the skill gap, resistance to change, and job security threat. The study examines various studies form (journals, books and e-repositories) on AI adoption, firms’ operational activities, and perceived job threat by personnel, saddled with responsibilities of implementing AIM. studies selected was between 2012-2023, the theoretical framework attempts to fill existing gap in literature on customer satisfaction and job threat to personnel, due to AIM deployment. Qualitative research methodology was adopted using in in-depth interviews through focus groups (Management, employee, and AI Technicians), Systematic Literature Review (SLR) will also be adopted to analyze the variables of the construct. The study findings show that there is significant relationship between AI Marketing and customers satisfaction, based on effective engagement of firms’ personnel saddled with the responsibility of deploying AIM in the organization. The implication of the study will be increase labor turnover, for employee without required AI set skills, and apprehension if customers are not satisfied. Future research should examine employee reaction in other functional areas of business, where AI id deployed.

Trends in the artificial intelligence market of the Russian Federation

Artificial intelligence is currently one of the most relevant and discussed topics in the field of technology. This is due to the widespread use of artificial intelligence in various fields of activity. The use of tools and methods of artificial intelligence increases the potential for the development of many fields of activity, including the social, scientific sphere, education, healthcare, industry. In 2021, under the influence of the COVID-19 pandemic, the growth rate of the Russian artificial intelligence market increased. In 2022, due to the difficult economic and political situation, there was a decrease in the growth rate. At the same time, it is most probable that in 2023-2024 the market growth will accelerate due to scientific and technological progress and stabilization of the economic situation. One of the most important factors that influenced the growth of the Russian artificial intelligence market is the state policy in the field of information technology.

ПЕРЕДОВЫЕ ЦИФРОВЫЕ ТЕХНОЛОГИИ КАК ВАЖНЕЙШИЙ ЭЛЕМЕНТ ИННОВАЦИОННО-ОРИЕНТИРОВАННОЙ ЭКОНОМИКИ

The article is a profound sanalysis of the correlation between innovation processes and the processes of digital transformation taking place under the influence of the accelerating development of advanced digital technologies. Based on the analysis of a number of industry studies, the topic of the article is focused on artificial intelligence and augmented reality technologies - rapidly developing technologies of digital transformation of industrial companies, which have a large market volume, high development potential and present significant key advantages. Based on the results of the analysis of the digital transformation solutions market, it was substantiated that the artificial intelligence market and the augmented reality market have not yet reached the stage of their maturity, and are at the stage of displacement of competitors.

Impact of artificial intelligence on sustainable development in African countries

The African continent continues to be characterized by imbalances in economic development and infrastructure challenges, while the high cost of internet access, skills shortages and technical skills hinder the adoption of artificial intelligence. Large-scale corruption and bureaucracy pose major challenges. Addressing these challenges will enable the development of a quality AI ecosystem and utilize the latest technologies to create new opportunities for the government, businesses and the African population. The main objective of this study is to identify the role of artificial intelligence in the inclusive and sustainable economic growth of African countries, and justify the feasibility of its adoption in their economies and infrastructure. The study of the artificial intelligence market in the countries of the region has shown that there is significant potential in the introduction of such technologies in various sectors of national economies There is unevenness in the readiness of countries for digital transformation and technology adoption due to different levels of investment opportunities of national economies, human potential, government policies on artificial intelligence, political stability and technological development. Based on expert assessments, three scenarios (conservative, confident and pessimistic) of economic development of African economies depending on the level of development of the artificial intelligence market in the region were drawn up. The factors negatively affecting the processes of digital transformation were identified; the directions of using artificial intelligence technologies to solve global problems and achieve inclusive and sustainable economic growth of the African continent were substantiated.

Artificial intelligence in the food industry

The growth of the planet’s population requires the application of innovative technological solutions for its nutrition. Artificial intelligence, as part of the technological toolkit of Industry 4.0, having a strong transforming effect in modern society, is perceived as a strategic factor for increasing productivity, efficiency and innovation in a number of sectors, including the food industry. The global food and beverage artificial intelligence market in 2021 is valued at USD 4.49 billion. It is expected to grow at a CAGR (average annual rate) of 45.4% to reach US$ 83.4 billion by 2029. The main goal of every industrial enterprise in the food industry is to produce high-quality products at the lowest possible cost. The application of AI can contribute to maintaining a higher quality of the manufactured product, through rapid quality control and visualization of the result. AI can aggregate and analyze data in real-time making recommendations to improve operational activities, can analyze data, uncover trends and recommend actions to increase efficiency. The result of the implementation of artificial intelligence in the food industry contributes to driving the growth of the market.

ПЕРСПЕКТИВИ РОЗВИТКУ FINTECH В УКРАЇНІ ТА СВІТІ У 2024 РОЦІ

The main trends in the development of FinTech in Ukraine and the in world in 2024 are analyzed in the article. Three areas in the FinTech development are currently identified as the most relevant: use of artificial intelligence, the latest technologies, and changes in financial services. Each area is analyzed and characterized in terms of content and development prospects. The impact of the regulator, the National Bank of Ukraine, on the activity of FinTech companies is considered separately. Plans to attract investments by Ukrainian FinTech companies in 2024 are analyzed: 45% of companies plan to develop by their own expense, and 39% plan to attract private investors’ resources. Plans for Ukrainian FinTech companies to enter the international market this year were analyzed: almost half of Ukrainian FinTech companies (47%) are already operating in international markets, and 38% plan to enter in the future. The analysis of the dynamics of the global artificial intelligence market in 2021-2023 and its forecast until 2030 shows that in 2023 the global artificial intelligence market was evaluated at about USD 200 billion. According to the Statistics Portal, this market is expected to grow significantly to almost $2 trillion by 2030. Based on the analysis of literature sources, it has been determined that new technologies that become popular in the FinTech sector will be: open banking, e-wallets, digital currencies, etc. To support their systemic development, it is necessary to use digital technologies. Thus, the article identifies promising areas of artificial intelligance use in the process of FinTech development in banking institutions: automated trading and investments (in the short term, investors will be able to focus on the development and implementation of specific strategies by outsourcing trading technologies to artificial intelligence), customer support system (text, voice, and video chatbots will be improved through integration with ChatGPT), fraud protection (automatic analysis of large amounts of data to identify potentially dangerous transactions will take much less time than manual analysis).

AI-POWERED LOGISTICS AND DIGITAL MARKETING FOR BUSINESS OPTIMISATION

The purpose of the work is to determine the characteristics of the use of artificial intelligence in logistics systems and digital marketing strategies of companies. The aim of the study is to determine the impact on companies of the simultaneous use of logistics and digital marketing based on artificial intelligence in the promotion and sale of products on domestic and foreign markets. The methodology used in this study includes a statistical analysis of the dynamics of the logistics market and the artificial intelligence market, as well as specialised software for digital marketing. A comprehensive study of scientific works has made it possible to identify the main trends in the development of artificial intelligence, logistics and digital marketing. The processes of globalisation and digitalisation are encouraging companies to actively adopt innovative technologies in order to secure a highly competitive position in the long term, which is stimulating relevant scientific research. The creation of personalised recommendations based on machine learning algorithms and the reduction of the time taken to deliver products to users, with the involvement of autonomous robotic couriers, make it possible to increase the popularity of the company on the market. AI engagement targets Generation Y, Z and Alpha users who are active consumers of products and interested in innovation in the promotion and delivery of goods and services. Stimulating demand on the internet using digital marketing tools based on artificial intelligence involves identifying highly specialised groups of users, interacting with them based on specific communication patterns and using relevant content. Thanks to AI, modern content can be generated and promptly placed on specialised social media, stimulating user interest in relevant brands. For modern companies, the combination of artificial intelligence, logistics and digital marketing is an important area of activity that relates to long-term strategic tasks and enables the achievement of optimal economic results.

Competitive Analysis and Valuation Application of ChatGPT in the Artificial Intelligence Industry

In recent years, with the rapid development of computation ability based on GPU and advances in artificial intelligence, a well-known big natural language process named ChatGPT has been developed. As a matter of fact, it is a chatbot in the artificial intelligence industry and based on artificial intelligence technology with a wide range of applications. This study aims to assess the competitive position and potential value of ChatGPT in the artificial intelligence market through market competition analysis and valuation application. According to the analysis, we will introduce the technical features and background of ChatGPT. Then, by analyzing the competitors, we will assess ChatGPT's competitive advantage in the market. Finally, we will apply the relative valuation method to estimate the market potential of ChatGPT. Based on the evaluation, the competitive advantage of ChatGPT in the industry is revealed. Overall, these results shed light on guiding further exploration of valuation for artificial intelligence industry.

The negative effect of service robots’ affective human-likeness on consumer satisfaction in frontline service encounters

Although companies have widely deployed service robots with affective human-likeness, scant attention has been paid to their negative effects on consumer satisfaction. We adopt a consumer–robot relationship perspective to investigate the mechanism and boundary conditions of the negative influence of affective human-likeness on consumer satisfaction. We suggest that service robots with affective human-likeness may violate consumer–robot relationship norms, making consumers feel social discomfort, thereby negatively affecting their satisfaction. Study 1 shows that a high degree of affective human-likeness negatively affects consumer satisfaction by causing social discomfort. Study 2 finds that consumer power which affects the perception of social distance, can be the boundary condition for previous negative effects. This research makes contributes to the literature on service robot anthropomorphism, consumer–robot relationships, and consumer power in artificial intelligence marketing and can guide service robots’ anthropomorphic use.

An Empirical Study of Artificial Intelligence Marketing - Supremacy and Weakness with Special Reference to Bangaluru

An Empirical Study of Artificial Intelligence Marketing - Supremacy and Weakness with Special Reference to Bangaluru

Assessing PT. Bithouse's Priority Strategy In Achieving The Artificial Intelligence Market

This research paper aims to explore the managerial strategies adopted by PT. Bithouse, an IT consulting company specializing in AI application development, penetrates the artificial intelligence market in Indonesia. The study employs a qualitative research method to gain in-depth insights into the strategic approaches used by PT. Bithouse. Through interviews, observations, and document analysis, the research seeks to provide a comprehensive understanding of the company's management practices, decision-making processes, and adaptation strategies in the rapidly evolving AI landscape. The findings of this research can contribute to the knowledge and understanding of effective managerial strategies for AI-focused companies operating in emerging markets like Indonesia.

The impact of customer-focus on the performance of business organizations: evidence from SMEs in an emerging West African economy

PurposeThe purpose of this paper is to investigate the impact of customer-focus on small medium enterprise (SME) performance from the perspective of a resource-based view (RBV).Design/methodology/approachThis research study implemented a survey strategy to gather data from 255 respondents on the registered list of Ghana Enterprise Agency (GEA) in the eastern region of Ghana. Scales used to gather data were operationalized from previous research studies. A structural equation modeling (SEM) path analysis was used to estimate the impact of customer-focus on the performance of SMEs.FindingsThe outcomes of this study indicate that customer-focus has a significant positive impact on SME performance, hence backing the current demand for investigating the distinct influence of customer-focus on SME performance. The results show that customer-focus has a positive and significant relationship with financial performance, customer performance, internal business process performance and learning and growth performance, thus supporting the literature on the positive impact of customer-focus on SME performance. Therefore, customer-focus determinants used in this study, including co-creation, networking ties, customer insight and artificial intelligence marketing (AIM), are critical to the optimization of SME performance.Research limitations/implicationsNotwithstanding the importance of this research study mentioned earlier, the study has limitations. Notably, the sample size of this study can be increased to capture SME respondents in other geographical zones that were not included in this study. Future research studies may address how business environment conditions moderate the relationship between customer focus and performance, and also the cause-effect of the relationship between customer focus and business environment conditions on SME performance.Practical implicationsThe practical implications consist of two main items. First, this study empowers SME owners and managers to develop a customer focus technique as a central strategic goal in their quest for SME performance optimization. Second, SME owners and managers should progressively exploit the four determinants of customer focus which include co-creation, networking ties, customer insight and (AIM in order to accrue important resources for effective utilization of their customer focus competences as a way to enhance their performance.Social implicationsThis study is targeted at the sound development of SMEs to bring about poverty alleviation and employment. Poverty, unemployment and poor living standards are recognized as vital social challenges in most emerging economies. The establishment of customer focus as an important strategic capability provides opportunities for SME survival, profitability and growth.Originality/valueGenerally, the findings of this research study provide a strong backing to RBV perspective and the proposition that customer-focus and its determinants (i.e. co-creation, networking ties, customer insight and AIM) should be acknowledged as a vital strategic resource for optimizing the performance of SMEs. This research study also provides new knowledge contribution to the present body of knowledge on customer-focus orientation and management literature, particularly in the context of an emerging economy.

Analysis of the World Experience in the Use of Artificial Intelligence to Optimize Business Processes of Enterprises

The relevance of the topic of the article is due to the importance of artificial intelligence as a tool for optimizing business processes of enterprises. The purpose of the article is to analyze the level of research in the field of artificial intelligence in the world. Tasks: conducting a qualitative analysis of the state of the global artificial intelligence market, establishing market development trends and factors. Methods. System approach, logical analysis, synthesis. Results. The world leaders in the field of artificial intelligence research are the USA, China, Japan, India, as well as high-tech multinational corporations. The main segment for venture investments are healthcare companies. The volume of venture deals in the field of artificial intelligence in 2021 amounted to about $ 66.8 billion. China provides significant state financial assistance to its companies working in the field of artificial intelligence. Artificial intelligence technologies have every chance to become a priority target for investments of over 30% of companies in the world and the basis for the growth of the global gross domestic product. The Asian market is actively developing, but the United States remains the leader in the number and volume of investments in the field of artificial intelligence. Conclusions. There are positive factors contributing to the development of artificial intelligence technologies (the growth of company stock prices, the beginning of the virtualization of digital space), and negative ones (the emerging shortage of semiconductors and the “arms race” in the field of artificial intelligence), trends are outlined towards the creation of large models and data, ethical and sovereign artificial intelligence, artificial intelligence technologies are actively developing for military tasks.