scholarly journals A Conceptual Framework on Defining Businesses Strategy for Artificial Intelligence

2020 ◽  
Vol 16 (3) ◽  
pp. 175-206
Author(s):  
Salih Caner ◽  
Feyza Bhatti
Keyword(s):  
Artificial Intelligence ◽  
Literature Review ◽  
Conceptual Framework ◽  
Customer Service ◽  
Business Strategy ◽  
Cost Reduction ◽  
Major Elements ◽  
Service Cost ◽  
Technological Developments ◽  
Business Functions

The technological developments on artificial intelligence (AI) are going to diffuse in all scales of firms in different industries. AI is increasingly used in diverse business functions, including marketing, customer service, cost reduction, and product improvement. Although there exists a large number of studies on AI, those focusing on the businesses are rather rare, and there is no holistic conceptual framework that brings the information on defining AI business strategy. The aim of this paper is to develop a conceptual framework on defining AI business strategy through a systematic literature review (SLR) of research conducted between 2015 and 2019. Consolidating business and technical views of AI, the paper discusses the major elements of AI in business like abilities and limitations of AI, economics and AI, business functions and AI, workforce, industries and AI, and regulations and ethics of AI on defining AI business strategy.

scholarly journals Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage

2021 ◽  
Vol 11 (2) ◽  
pp. 870
Author(s):  
Galena Pisoni ◽  
Natalia Díaz-Rodríguez ◽  
Hannie Gijlers ◽  
Linda Tonolli
Keyword(s):  
Artificial Intelligence ◽  
Literature Review ◽  
Cultural Heritage ◽  
Conceptual Framework ◽  
Interaction Design ◽  
Participatory Design ◽  
Future Directions ◽  
Heritage Sites ◽  
Review Analysis

This paper reviews the literature concerning technology used for creating and delivering accessible museum and cultural heritage sites experiences. It highlights the importance of the delivery suited for everyone from different areas of expertise, namely interaction design, pedagogical and participatory design, and it presents how recent and future artificial intelligence (AI) developments can be used for this aim, i.e.,improving and widening online and in situ accessibility. From the literature review analysis, we articulate a conceptual framework that incorporates key elements that constitute museum and cultural heritage online experiences and how these elements are related to each other. Concrete opportunities for future directions empirical research for accessibility of cultural heritage contents are suggested and further discussed.

scholarly journals How Companies are Applying AI to the Business Strategy Formulation

2019 ◽  
Vol 5 (8) ◽  
pp. 77
Author(s):  
M S S El Namaki
Keyword(s):  
Artificial Intelligence ◽  
Conceptual Framework ◽  
Business Strategy ◽  
Fundamental Change ◽  
Strategy Formulation ◽  
Strategic Behaviour ◽  
Substantial Progress ◽  
Competitive Behaviour ◽  
Definition Of ◽  
Market Strategies

Computing equipment capable of what one may term partial and quasi-intelligent behaviour, commonly referred to as Artificial Intelligence (AI), is assuming a key role in business. The probability is high that this Artificial Intelligence (AI) will lead to a fundamental change in the process of business strategy formulation as much as the very contents of this strategic behaviour. Product and market strategies and the resultant competitive behaviour will, more likely than not, be the outcome of those artificial intelligence processes and reiterations. A start is made and one can observe substantial progress in this direction. Who has done it and is there a conceptual framework behind this strategic behaviour? This will be the focus of this article The article starts with a brief definition of artificial intelligence and a basic framework of the concept. Seven case studies follow supporting the hypothesis that AI is penetrating the business strategy arena and leading to a fundamental change in the concept as much as the application. Those cases were drawn from different industries, and countries. A conceptual framework is accordingly derived and positioning of those case companies within this conceptual framework is done. The article is based on contemporary frameworks of AI and the cases are drawn from contemporary analysis of strategic behaviour. The conceptual model could provide an instrument for business AI application.

scholarly journals Artificial intelligence in cyber physical systems

2020 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Max Van Kleek ◽  
Omar Santos ◽  
Uchenna Ani
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Literature Review ◽  
Conceptual Framework ◽  
Cyber Physical Systems ◽  
Industrial Internet Of Things ◽  
Physical Systems ◽  
Industrial Internet ◽  
Selection Decisions ◽  
Future Challenges

Abstract This article conducts a literature review of current and future challenges in the use of artificial intelligence (AI) in cyber physical systems. The literature review is focused on identifying a conceptual framework for increasing resilience with AI through automation supporting both, a technical and human level. The methodology applied resembled a literature review and taxonomic analysis of complex internet of things (IoT) interconnected and coupled cyber physical systems. There is an increased attention on propositions on models, infrastructures and frameworks of IoT in both academic and technical papers. These reports and publications frequently represent a juxtaposition of other related systems and technologies (e.g. Industrial Internet of Things, Cyber Physical Systems, Industry 4.0 etc). We review academic and industry papers published between 2010 and 2020. The results determine a new hierarchical cascading conceptual framework for analysing the evolution of AI decision-making in cyber physical systems. We argue that such evolution is inevitable and autonomous because of the increased integration of connected devices (IoT) in cyber physical systems. To support this argument, taxonomic methodology is adapted and applied for transparency and justifications of concepts selection decisions through building summary maps that are applied for designing the hierarchical cascading conceptual framework.

scholarly journals Opportunities and Challenges of Artificial Intelligence in Banking: Systematic Literature Review

TEM Journal ◽  
2021 ◽  
pp. 1581-1587
Author(s):  
Ahmad Ghandour
Keyword(s):  
Artificial Intelligence ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Business Strategy ◽  
Banking Sector ◽  
Banking Industry ◽  
Empirical Studies ◽  
Quality Data ◽  
Secondary Sources ◽  
Strategy Alignment

The primary aim of this systematic literature review (SLR) was to identify, assess and synthesize the extant evidence about the opportunities and challenges concerning the use of Artificial Intelligence (AI) in the banking sector. From the SLR, it is evident that AI has several opportunities for the sector. There are many fin-tech start-ups that offer banking AI solutions, and banking regulators are fostering AI adoption through legislation and collaboration. Other opportunities include the following: personalized services, smart wallets, decision-making and problem-solving, customer satisfaction and loyalty, process automation (especially targeting repetitive tasks), transactional security and cybersecurity improvements, and promotion of digital financial inclusion. Nevertheless, the key banking industry stakeholders have to formulate appropriate strategies aimed at overcoming existing and prospect AI challenges. Among the AI challenges that should be prioritized we include the following: job loss and user acceptance concerns, privacy breaches, creativity and adaptability loss, restrictive implementation and operational requirements, digital divide, availability of vast quality data, AI-business strategy alignment, and loss of emotional “human touch”. However, existing studies are largely descriptive and based on secondary sources of data. This necessitates empirical studies to expand the existing body of knowledge regarding AI opportunities and challenges in the banking industry.

scholarly journals O Impacto Financeiro das Auditorias da Qualidade nas empresas Portuguesas

2015 ◽  
Vol 1 (3) ◽  
pp. 90-102 ◽  
Author(s):  
Isabel Cristina Passos Batista ◽  
Manuel Gilberto Freitas dos Santos
Keyword(s):  
Literature Review ◽  
Customer Service ◽  
Continuous Improvement ◽  
Cost Reduction ◽  
Management Systems ◽  
Main Theme ◽  
Quality Management Systems ◽  
Financial Benefits ◽  
The Subject ◽  
The Impact

This paper discusses the main theme the financial implications that Portuguese companies with the implementation and subsequent certification of the Quality System and respective Quality Audits. The literature review shows that companies do not publish financial results on the subject in question, making it necessary to acquire information through a questionnaire. About 126 questionnaires were sent. Our sample is however 32 validados.Pode to complete questionnaires that the top 5 overall benefits or indirect financial benefits for Portuguese companies were, respectively: improving internal organization; improving the company's image; increasing customer satisfaction; continuous improvement in customer service; improving competitive position. In terms of direct financial benefits the 3 main benefits obtained by the companies were: turnover increase; Performance (cost reduction); Increased business productivity. So it is expected to contribute to the knowledge of the impact, notably financial of Quality Management Systems and respective audits in Portuguese companies.

scholarly journals Wan Yusoff bin Wan Mahmood, A Conceptual Framework For The Deveopment of Quality Culture in The Construction Industry

2019 ◽  
Vol 4 (3) ◽  
pp. 29-32
Author(s):  
Satya Nugraha ◽  
Yusuf Latief
Keyword(s):  
Literature Review ◽  
Conceptual Framework ◽  
Construction Industry ◽  
Customer Service ◽  
Cultural Change ◽  
Poor Quality ◽  
Construction Firms ◽  
Construction Companies ◽  
Quality Culture ◽  
Service Sectors

The construction industry is being viewed as one with poor quality emphasiscompared to other sectors like the manufacturing and service sectors. Many criticismshave been directed to the construction industry for generally shoddy workmanship.This is mainly the result of the industry’s failure to achieve the expected performancelevel in delivering its finished product and its customer service. Total qualitymanagement (TQM) is increasingly being adopted by construction companies as aninitiative to solve quality problems in the construction industry and to meet the needsof the customer. However, construction firms have been continually struggling withits implementation. Cultural change is being recognised as an important aspect of totalquality development. However, the issue surrounding quality culture and theirdevelopment has not been comprehensively studied. Based on literature review, thispaper discusses the issue of quality culture and a conceptual framework for thedevelopment of quality culture in construction industry

Chatbot for Online Customer Service

2021 ◽  
pp. 16-31
Author(s):  
Ree Chan Ho
Keyword(s):  
Artificial Intelligence ◽  
Conceptual Framework ◽  
Knowledge Sharing ◽  
Mobile Devices ◽  
Customer Service ◽  
Customer Engagement ◽  
Service Satisfaction ◽  
Integrative Framework ◽  
Trust Theory ◽  
Shed Light

Chatbot has become popular in recent years due to the advancements in artificial intelligence and other underlying technologies. Likewise, increased internet interactivity and smarter mobile devices have specifically attracted more consumers to pursue superior and personalized customer service. The aim of this chapter was therefore to better understand the use of chatbots by online businesses to shed light on its effect on customer service satisfaction. The commitment trust theory served as the underlying theoretical foundation for the conceptual framework of this study. It explored the relationships among trust, commitment, service quality, and technology towards the use of chatbots. Subsequently, customer engagement gained has influenced the knowledge sharing and the referral to other customers. This chapter presented an integrative framework for predicting the use of chatbots to enhance customer bonding with firms. The main contribution was the list of antecedents needed to improve customer engagement in the implementation of chatbots.

A Conceptual Framework Illustrating the Effects of E-CRM on Customer Loyalty

2019 ◽  
pp. 123-134
Author(s):  
Maysam Saifi
Keyword(s):  
Conceptual Framework ◽  
Customer Service ◽  
Customer Relationship Management ◽  
Customer Loyalty ◽  
Business Strategy ◽  
Banking Industry ◽  
Relationship Management ◽  
Customer Relationship ◽  
Customer Support

Customer relationship management (CRM) is recognized as a business strategy to identify the most profitable customers in the banking industry and to devote time and attention to gain their loyalty. The purpose of this chapter is to propose a conceptual framework representing sub-factors of electronic customer relationship management (e-CRM) and customer loyalty as a base model to examine the effect of e-CRM on customer loyalty. E-CRM is a well-structured and systematized process of CRM that automatizes processes of marketing, sales, and customer service. This study helps us to have a better understanding of the role of e-CRM in customer loyalty in Tejarat Bank. The main focus is on e-CRM including factors such as e-banking, customer support, security, and additional services.

scholarly journals Chatbot for University Resource Booking

2019 ◽  
pp. 113-116 ◽  
Author(s):  
Challamalla Balaji Ram Mohan ◽  
Ankush Babu Divi ◽  
Abbineni Venkatesh ◽  
Bandla Sai Teja
Keyword(s):  
Artificial Intelligence ◽  
Customer Service ◽  
Smart Home ◽  
Business Groups ◽  
Service Cost ◽  
Multiple Users ◽  
Answering Questions

Chatbots are programs that mimic human conversation using Artificial Intelligence (AI). It is designed to be the ultimate virtual assistant, entertainment purpose, helping one to complete tasks ranging from answering questions, getting driving directions, turning up the thermostat in a smart home, to playing one’s favorite tunes etc. Chatbot has become more popular in business groups right now as they can reduce customer service cost and handles multiple users at a time. But yet to accomplish many tasks there is need to make chatbots as efficient as possible. To address this problem, in this paper we provide the design of a chatbot, which is efficient and timesaving in booking University/Institution resources like auditoriums, seminar halls, projectors etc which is built using Dialogflow, Nodejs, and PostgreSQL. This chatbot can be used by any University/Institution to book resources.

Perceived Effectiveness of Artificial Intelligence based Decision Support System in a Clinical Setting: A Systematic Literature Review (Preprint)

2020 ◽  
Author(s):  
Avishek Choudhury
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Decision Support ◽  
Literature Review ◽  
Decision Support System ◽  
Support System ◽  
Clinical Setting ◽  
Clinical Decision Making ◽  
Theoretical Perspective ◽  
Care Providers

UNSTRUCTURED Objective: The potential benefits of artificial intelligence based decision support system (AI-DSS) from a theoretical perspective are well documented and perceived by researchers but there is a lack of evidence showing its influence on routine clinical practice and how its perceived by care providers. Since the effectiveness of AI systems depends on data quality, implementation, and interpretation. The purpose of this literature review is to analyze the effectiveness of AI-DSS in clinical setting and understand its influence on clinician’s decision making outcome. Materials and Methods: This review protocol follows the Preferred Reporting Items for Systematic Reviews and Meta- Analyses reporting guidelines. Literature will be identified using a multi-database search strategy developed in consultation with a librarian. The proposed screening process consists of a title and abstract scan, followed by a full-text review by two reviewers to determine the eligibility of articles. Studies outlining application of AI based decision support system in a clinical setting and its impact on clinician’s decision making, will be included. A tabular synthesis of the general study details will be provided, as well as a narrative synthesis of the extracted data, organised into themes. Studies solely reporting AI accuracy an but not implemented in a clinical setting to measure its influence on clinical decision making were excluded from further review. Results: We identified 8 eligible studies that implemented AI-DSS in a clinical setting to facilitate decisions concerning prostate cancer, post traumatic stress disorder, cardiac ailment, back pain, and others. Five (62.50%) out of 8 studies reported positive outcome of AI-DSS. Conclusion: The systematic review indicated that AI-enabled decision support systems, when implemented in a clinical setting and used by clinicians might not ensure enhanced decision making. However, there are very limited studies to confirm the claim that AI based decision support system can uplift clinicians decision making abilities.

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