Investigating the Critical Success Factors of Artificial Intelligence-Driven CRM in J. K. Tyres

2022 ◽  
pp. 115-126
Author(s):  
Surabhi Singh ◽  
José Duarte Santos
Keyword(s):  
Artificial Intelligence ◽  
Data Collection ◽  
Language Processing ◽  
Critical Success Factors ◽  
Success Factors ◽  
Relevant Information ◽  
Product Availability ◽  
Critical Success ◽  
Added Uncertainty ◽  
Business Customers

AI-powered technologies allow online B2B companies to serve their customers with accurate and relevant information, 24/7. For example, they experience an increase in requests for information from customers on such aspects as product availability, features, or other services. The chapter aims to explore artificial intelligence in B2B business. The study employed qualitative research, and the data was collected through a focus group for data collection. An AI-powered chatbot enhanced with natural language processing and understanding conversationally-worded requests could instantaneously provide this information without a human representative. This is vital as the added uncertainty around the pandemic means business customers seek real answers and ways to adapt and fast. The findings suggest the critical success factors of AI-driven CRM in B2B markets. The limitations of the study include the data collection being restricted to one B2B company. The implications are that further study can be extended for exploring AI-based CRM in B2B markets.

Critical success factors for integrating artificial intelligence and robotics

2020 ◽  
Vol 22 (4) ◽  
pp. 307-331 ◽  
Author(s):  
Umar Bashir Mir ◽  
Swapnil Sharma ◽  
Arpan Kumar Kar ◽  
Manmohan Prasad Gupta
Keyword(s):  
Artificial Intelligence ◽  
Multinational Enterprises ◽  
Critical Success Factors ◽  
Success Factors ◽  
Autonomous Systems ◽  
Building Blocks ◽  
Content Type ◽  
Clear Cut ◽  
Critical Success ◽  
Societal Problems

Purpose This paper aims to enlighten stakeholders about critical success factors (CSFs) in developing intelligent autonomous systems (IASs) by integrating artificial intelligence (AI) with robotics. It suggests a prioritization hierarchy model for building sustainable ecosystem for developing IASs. Design/methodology/approach This paper is based on the existing literature and on the opinion of 15 experts. All the experts have minimum of eight years of experience in AI and related technologies. The CSF theory is used as a theoretical lens and total interpretative structure modelling (TISM) is used for the prioritization of CSFs. Findings Developing countries like India could leverage IASs and associated technologies for solving different societal problems. Policymakers need to develop basic policies regarding data collection, standardized hardware, skilled manpower, funding and start-up culture that can act as building blocks in undertaking sustainable ecosystem for developing IASs and implementing national AI strategy. Clear-cut regulations need to be in place for the proper functioning of the ecosystem. Any technology that can function properly in India has better chances of working at the global level considering the size of the population. Research limitations/implications This paper had all its experts from India only, and that makes the limitation of this paper, as there is a possibility that some of the factors identified may not hold same significance in other countries. Practical implications Stakeholders will understand the critical factors that are important in developing sustainable ecosystem for IASs and what should be the possible order of activities corresponding to each CSF. Originality/value The paper is the first of its kind that has used the CSF theory and TISM methodology for the identification and prioritization of CSFs in developing IASs. Further, eight significant factors, that is, emerging economy multinational enterprises (EMNEs), governance, utility, manpower, capital, software, data and hardware, have come up as the most important factors in integrating AI with robotics in India.

The Critical Success Factors in Supply Chain Implementation

2006 ◽  
pp. 272-290
Author(s):  
Panyaluck Udomleartprasert ◽  
Chamnong Jungthirapanich
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Data Collection ◽  
Significant Relationship ◽  
Critical Success Factors ◽  
Success Factors ◽  
Supply Chain Performance ◽  
Chain Management ◽  
Critical Success ◽  
Relationship Of

This chapter introduces critical success in supply chain implementation by empirical research. The widespread implementation of supply chain management induced companies to move beyond national borders and be enticed by the global competition in business. Applying supply chain management overall in organizations, companies generally considered it successful in managing their supply chains. However, some of them have not reached the magnitude of improvements or the desired results ascribed to supply chain management. With supply chain concerns and problems related to some basic companies’ infrastructures, the supply chain knowledge and operational skill affected the effectiveness of supply chain practices and performances. In this research, we studied the infrastructures enhancing the success of supply chain implementation that influence supply chain performance. The author adopts three categories of infrastructure as the critical success factors of supply chain implementation: man, machines, and management. The EQS is used to analyze the data collection. A total of 114 pieces of data were completed, and the result shows the significant relationship of operational infrastructures and the success of supply chain management.

Going North on a North-Bound Trail: A Model for Achieving Health Management Goals and Objectives

1989 ◽  
Vol 2 (2) ◽  
pp. 146-154 ◽  
Author(s):  
Godwin O. Eni ◽  
Joseph K. H. Tan
Keyword(s):  
Health Care ◽  
Critical Success Factors ◽  
Success Factors ◽  
Health Management ◽  
Relevant Information ◽  
Critical Success ◽  
Health Services Planning ◽  
Goals And Objectives ◽  
Managerial Problem

A basic managerial problem in decision making is to synthesise and priorise information relating to the achievement of organisational goals and objectives. This paper discusses the role of critical success factors in health services planning as a means for sorting out and specifying relevant information necessary for achieving organisational goals and managerial objectives. The proposed approach enhances existing planning procedures for health care organisations. Within a conceptual framework of the health care system, managerial insights are provided for the realisation of organisational goals via measurable managerial objectives using critical success factors as pointers to success. More importantly, this paper introduces a planning model which incorporates the CSF concept for developing new health care programmes and for evaluating or restructuring existing programmes.

Systematic literature review of critical success factors for continuous improvement projects

2016 ◽  
Vol 7 (3) ◽  
pp. 214-232 ◽  
Author(s):  
Fernando Gonzalez Aleu ◽  
Eileen M. Van Aken
Keyword(s):  
Literature Review ◽  
Continuous Improvement ◽  
Systematic Literature Review ◽  
Critical Success Factors ◽  
Success Factors ◽  
Relevant Information ◽  
Research Area ◽  
Content Type ◽  
Critical Success ◽  
Relative Contribution

Purpose The aim of this paper is to synthesize and assess the published literature relating to critical success factors for continuous improvement projects (CIPs). Design/methodology/approach A systematic literature review (SLR) was conducted to obtain the most relevant papers from four platforms: EBSCOhost, Engineering Village, ProQuest and Web of Science. The literature was assessed and synthesized based on analysis of characteristics relating to publications, authors and the content of publications. Findings From the SLR, 98 publications were identified and analyzed. One primary finding is that this research area appears to demonstrate characteristics of an emerging field, not yet well established across all relevant aspects. Second, a comprehensive set of 53 factors were extracted from the publications identified. These factors were analyzed according to frequency in the published literature. This set of factors can be used in future empirical research to develop a more complete understanding of the relative contribution of each to influencing CIP success. Research limitations/implications The SLR methodology does not guarantee that all of the publications related to a given research area will be identified; however, the researchers took different actions to mitigate this limitation. Further, not all relevant information from the publication set could be included in this work because of space constraints. Originality/value To the authors’ knowledge, this paper presents the most comprehensive list of factors, and associated definitions, relevant to CIP success.

Critical Success Factors for Twinning Measure

2018 ◽  
Author(s):  
Franka Cadée ◽  
Marianne J. Nieuwenhuijze ◽  
Antoine L. M. Lagro-Janssen ◽  
Raymond de Vries
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Critical Success

Critical Success Factors in Russian R&D Projects in the Real Economy

2010 ◽  
pp. 41-61
Author(s):  
V. Andreev
Keyword(s):  
Empirical Research ◽  
Critical Success Factors ◽  
Success Factors ◽  
Innovation Process ◽  
Real Economy ◽  
Key Factors ◽  
Industrial Products ◽  
Successful Development ◽  
The Real ◽  
Critical Success

The article discusses the concept of "success" in relation to innovative business and its performance. The quantity of innovative projects that can consistently overcome the stages of the innovation process to achieve the desired result is defined. The author presents the results of empirical research of successful and unsuccessful projects of leading Russian innovative companies in various industries, identifies key factors of successful development of new industrial products.

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