Cover image for CUSTOMER LOYALTY AND SUPPLY CHAIN MANAGEMENT : BUSINESS-TO-BUSINESS CUSTOMER LOYALTY ANALYSIS
Title:
CUSTOMER LOYALTY AND SUPPLY CHAIN MANAGEMENT : BUSINESS-TO-BUSINESS CUSTOMER LOYALTY ANALYSIS
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Physical Description:
viii, 125 pages : illustrations ; 24 cm
ISBN:
9780367888947
Abstract:
Many business-to-business (B2B) managers think that customers act rationally and base decisions mostly on price, customer loyalty isn't considered. Companies outsource various activities, which enable them to improve efficiency, reduce costs, focus more on core competencies and improve their innovation capabilities. Supply Chain Management synchronizes the efforts of all parties-particularly suppliers, manufacturers, retailers, dealers, customers-involved in achieving customer's needs. Despite much research, the relationship between customer loyalty and the supply chain strategy remains insufficiently explored and understood by practitioners and academics, while the theme has been extensively developed within marketing literature. Customer Loyalty and Supply Chain Management is the result of years of work by the authors on different projects concerning the overlapping areas of supply chains, logistics and marketing, drawing a connection between the literature to provide a holistic picture of the customer loyalty framework. Emphasis is given to the B2B context, where recent research has provided some clues to support the fact that investment in operations, new technologies and organizational strategy have had a significant role in understanding B2B loyalty, particularly in the context of global supply chains. Moreover, the book provides a modernized and predictive model of B2B loyalty, showing a different methodological approach that aims at capturing the complexity of the phenomenon. This book will be a useful resource for professionals and scholars from across the supply chain who are interested in exploring the dimension of customer loyalty in the challenging supplier and customer context.
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33000000004990 HF5415.5 R87 2019 Book Book
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Summary

Summary

Many business-to-business (B2B) managers think that customers act rationally and base decisions mostly on price, customer loyalty isn't considered. Companies outsource various activities, which enable them to improve efficiency, reduce costs, focus more on core competencies and improve their innovation capabilities. Supply Chain Management synchronizes the efforts of all parties-particularly suppliers, manufacturers, retailers, dealers, customers-involved in achieving customer's needs. Despite much research, the relationship between customer loyalty and the supply chain strategy remains insufficiently explored and understood by practitioners and academics, while the theme has been extensively developed within marketing literature.



Customer Loyalty and Supply Chain Management is the result of years of work by the authors on different projects concerning the overlapping areas of supply chains, logistics and marketing, drawing a connection between the literature to provide a holistic picture of the customer loyalty framework. Emphasis is given to the B2B context, where recent research has provided some clues to support the fact that investment in operations, new technologies and organizational strategy have had a significant role in understanding B2B loyalty, particularly in the context of global supply chains. Moreover, the book provides a modernized and predictive model of B2B loyalty, showing a different methodological approach that aims at capturing the complexity of the phenomenon.



This book will be a useful resource for professionals and scholars from across the supply chain who are interested in exploring the dimension of customer loyalty in the challenging supplier and customer context.


Table of Contents

List of figuresp. ix
List of tablesp. x
List of boxesp. xi
Forewordp. xii
Prefacep. xv
Acknowledgmentsp. xvii
1 Achieving integration between supply chain management and marketingp. 1
Research in business-to-business marketingp. 1
Supply chain management: a pillar for business-to-business marketingp. 3
2 Customer loyalty in the business-to-business contextp. 14
Customer loyalty backgroundp. 14
The role of switching costs on customer loyaltyp. 22
Linking customer satisfaction and customer loyaltyp. 28
Customer value and its impact on customer loyaltyp. 31
Logistics service quality (LSQ) and its impact on customer loyaltyp. 34
Trust, commitment and customer loyaltyp. 37
The role of managing returns on customer loyaltyp. 38
Customer loyalty and word of mouth (WOM)p. 41
3 The era of omnichannelp. 51
From offline to online: the impact of digitalisationp. 51
From multichannel to omnichannel - the company perspectivep. 55
B2B digital transformation and requirementsp. 61
Commitment to digital at a strategic levelp. 64
Contentp. 64
Experiencep. 65
Data mining and big data analyticsp. 66
Measuring digital impact through key performance indicatorsp. 72
4 Managing the supply chain in the digital contextp. 77
New issues for supply chain operationsp. 77
Inventory systemp. 80
Picking processesp. 80
Assortmentp. 80
Delivery velocityp. 81
Product returns managementp. 82
Organisationp. 84
Information technology systemsp. 84
5 Theory, methods and practice for measuring customer loyaltyp. 88
Introductionp. 88
Applying complexity theory to customer loyalty in a supply chain contextp. 88
Study A Measuring value perception and loyalty in the business-to-business contextp. 91
Data collection, survey development and samplingp. 91
Measurement of variablesp. 92
Method 1 Multiple regression analysisp. 93
Analysis and resultsp. 94
Method 2 Qualitative comparative analysis using fuzzy set qualitative comparative analysis softwarep. 97
Implementation of contrarian analysisp. 98
Procedure for qualitative comparative analysisp. 102
Findings from the qualitative comparative analysisp. 107
Study B Measuring the impact of logistics service quality on customer loyaltyp. 108
Data collection and survey developmentp. 109
Sample characteristicsp. 110
Method 1 Multiple regression analysisp. 110
Method 2 Qualitative comparative analysis using fuzzy set qualitative comparative analysis softwarep. 112
Procedure for qualitative comparative analysisp. 113
Findings from the qualitative comparative analysisp. 115
Final commentp. 116
6 Concluding thoughts and future researchp. 120
Indexp. 124