Perceived Quality of Mobile Services : : A Segment-Specific Analysis.

The book investigates user satisfaction with mobile services, the perceived quality of m-commerce products, and the loyalty towards service providers. After introducing the m-commerce value chain and emerging mobile services, the first part examines relevant theories from diffusion of innovations an...

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Superior document:Forschungsergebnisse der Wirtschaftsuniversitaet Wien Series ; v.18.
:
Place / Publishing House:Frankfurt a.M. : : Peter Lang GmbH, Internationaler Verlag der Wissenschaften,, 2007.
©2008.
Year of Publication:2007
Edition:1st ed.
Language:English
Series:Forschungsergebnisse der Wirtschaftsuniversität Wien
Physical Description:1 online resource (206 pages)
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spelling Dickinger, Astrid.
Perceived Quality of Mobile Services : A Segment-Specific Analysis.
Perceived Quality of Mobile Services
1st ed.
Frankfurt a.M. : Peter Lang GmbH, Internationaler Verlag der Wissenschaften, 2007.
©2008.
1 online resource (206 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Forschungsergebnisse der Wirtschaftsuniversitaet Wien Series ; v.18.
Creative Commons Attribution 4.0 International CC BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode
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Cover -- 1 INTRODUCTION -- 1.1 RESEARCH QUESTIONS AND AIMS -- 1.2 IMPLICATIONS -- 1.3 RESEARCH DESIGN -- 1.4 STRUCTURE -- 2 THE EXPLORATIVE RESEARCH -- 2.1 A BRIEF SUMMARY OF QUALITATIVE RESEARCH -- 2.1.1 Advantages and Disadvantages of Qualitative Research Methods -- 2.1.2 Preparing for the Field and the Selection of Experts -- 2.1.3 Qualitative Interviewing -- 2.1.4 Qualitative Data Processing and Analyzing -- 2.2 CARRYING OUT THE QUALITATIVE RESEARCH -- 3 THE M-COMMERCE VALUE CHAIN -- 3.1 THE BASIC MODEL -- 3.2 INFRASTRUCTURE AND SERVICES -- 3.2.1 Mobile Transport -- 3.2.2 Mobile Interface and Applications -- 3.2.2.1 Mobile Phones -- 3.2.2.1.1 Phones as Portable Entertainment Players -- 3.2.2.1.2 Phones as a New Marketing Tool for Retailers and Manufacturers -- 3.2.2.1.3 Phones as a Multi-Channel Shopping Device -- 3.2.2.1.4 Phones as Portable Navigation Guides -- 3.2.2.1.5 Phones as Tickets and Money -- 3.2.2.1.6 Phones as a Mobile Internet Device -- 3.2.3 Mobile Service Technologies and Delivery Support -- 3.2.3.1 Messaging Services -- 3.2.3.2 Security and Privacy -- 3.3 CONTENT -- 3.3.1 Content Creation -- 3.3.2 Content Packaging -- 3.3.3 Market Making -- 3.4 THE MOBILE USER -- 4 MOBILE SERVICES -- 4.1 CHARACTERISTICS OF MOBILE SERVICES -- 4.2 TYPES OF MOBILE SERVICES -- 4.2.1 Information Services -- 4.2.2 Entertainment Services -- 4.2.3 Transaction Services -- 4.2.4 Communication Services -- 4.2.5 Mobile Marketing Services -- 4.2.5.1 Mobile Branding -- 4.2.5.2 Mobile CRM -- 4.2.5.3 Mobile Advertising -- 4.2.5.4 Mobile Market Research -- 5 THEORETICAL AND METHODOLOGICAL FRAMEWORK -- 5.1 RELEVANCE OF THE THEORETICAL FRAMEWORK -- 5.2 DIFFUSION AND ADOPTION THEORIES -- 5.2.1 Diffusion of Innovations -- 5.2.2 Social Cognitive Theory -- 5.2.3 Theory of Planned Behavior &amp -- Theory of Reasoned Action -- 5.2.4 The Technology Acceptance Model.
5.2.5 Task Technology Fit Model -- 5.2.6 Motivational Model -- 5.2.7 Unified Theory of Acceptance and Use of Technology -- 5.2.8 Comparative Analysis of Adoption Models -- 5.3 SERVICE QUALITY -- 5.3.1 Donabedian's Model -- 5.3.2 Grönroos' Model -- 5.3.3 Parasuraman, Zeithaml, Berry -- 5.3.4 Measurement of Service Quality -- 5.3.4.1 SERVQUAL -- 5.3.4.2 SERVPERF -- 5.3.5 Internet Quality -- 5.3.5.1 E-S-Quality -- 5.3.5.2 EC-SERVQUAL -- 5.3.5.3 WebQual by Barnes and Vidgen -- 5.3.5.4 WebQual by Loiacono, Watson and Goodhue -- 5.3.5.5 DeLone and McLean's Model of IS Success -- 5.3.5.6 Sitequal -- 5.3.5.7 eTailQ -- 5.3.5.8 Attitude Toward the Site - AST -- 5.4 BEHAVIORAL CONSEQUENCES OF PERCEIVED SERVICE QUALITY -- 5.4.1 Loyalty -- 5.4.1.1 Day's Two-Dimensional Loyalty Concept -- 5.4.1.2 Loyalty According to Jacoby, Chestnut and Kymer -- 5.4.1.3 The Dick and Basu Loyalty Approach -- 5.4.1.4 Oliver's Dynamic Loyalty Perspective -- 5.4.1.5 Measuring Loyalty -- 5.4.1.6 The Relationship between Customer Satisfaction and Loyalty -- 5.4.2 Value -- 5.4.2.1 Utilitarian Approach to Perceived Value -- 5.4.2.2 Behavioral Approach to Perceived Value -- 5.5 DISCUSSION OF THE RELEVANT MODELS AND CONSTRUCTS -- 5.6 CAUSAL MODELING -- 5.6.1 Causal Models -- 5.6.2 Usage Areas for Causal Models -- 5.6.3 Steps for Structural Equation Modeling -- 5.6.3.1 Model Specification -- 5.6.3.2 Model Identification -- 5.6.3.3 Parameter Estimates -- 5.6.3.4 Model Evaluation Measures -- 5.6.4 M-Plus -- 5.6.4.1 Particularities Estimating Models with Categorical Data -- 5.6.4.2 Estimators in Mplus -- 5.6.4.3 Fit Indices for Categorical Variables -- 6 HYPOTHESES DEVELOPMENT AND MODEL SPECIFICATION -- 6.1 PERCEPTUAL ATTRIBUTES -- 6.2 HIGHER ORDER ABSTRACTIONS -- 6.3 BEHAVIORAL OUTCOMES -- 6.4 MODERATOR EFFECTS -- 6.4.1 Innovativeness -- 6.4.2 Experience -- 6.4.3 Age.
7 OPERATIONALIZATION OF THE CONSTRUCTS -- 8 DATA COLLECTION -- 8.1 QUESTIONNAIRE DESIGN -- 8.2 SAMPLING AND SAMPLE SIZE -- 8.3 PRETEST -- 8.4 THE FIELD PHASE -- 9 EMPIRICAL TEST AND ANALYSES -- 9.1 RESPONSE RATE -- 9.2 SAMPLE STRUCTURE -- 9.2.1 Profile of m-parking Users and Non-Users -- 9.2.2 M-Services Usage Behavior -- 9.2.3 M-Parking Usage -- 9.2.4 Data Structure -- 9.3 TEST RESULTS -- 9.3.1 Test of the Hypothesized Model -- 9.3.1.1 Test of the Measurement Model -- 9.3.2 Using Dichotomous Variables for Model Test -- 9.3.2.1 The Measurement Model Using Dichotomous Variables -- 9.3.3 Summary and Interpretation of Findings from the Model Test -- 9.4 ALTERNATIVE MODELS -- 9.4.1 Alternative 1 -- 9.4.2 Alternative 2 -- 9.5 SEARCHING FOR HETEROGENEITY -- 9.5.1 Multiple Group Analysis -- 9.5.1.1 Innovativeness as Grouping Variable -- 9.5.1.2 Experience as Grouping Variable -- 9.5.1.3 Age as Grouping Variable -- 9.5.2 Latent Class Analysis -- 9.5.2.1 Model Differences -- 9.5.2.2 Distinct Characteristics of the Classes Identified -- 9.5.2.2.1 Class One: Mobile Service Skeptics -- 9.5.2.2.2 Class Two: Undecided Users -- 9.5.2.2.3 Class Three: Cautious Innovators -- 9.5.2.2.4 Class Four: Mobile Service Lovers -- 10 CONCLUSIONS -- 10.1 IMPLICATIONS FOR FUTURE RESEARCH -- 10.2 IMPLICATIONS FOR INDUSTRY -- 11 REFERENCES -- 12 APPENDIX - QUESTIONNAIRE.
The book investigates user satisfaction with mobile services, the perceived quality of m-commerce products, and the loyalty towards service providers. After introducing the m-commerce value chain and emerging mobile services, the first part examines relevant theories from diffusion of innovations and service quality to mobile services, and identifies new trends in the mobile communication market. The book demonstrates to what extent service quality and adoption theories of consumer behavior literature explain the (repeated) usage of mobile services, and how the results differ by user segments. A-priori and a-posteriori segmentations provide detailed insights. The results indicate that it is important to consider (un)observed heterogeneity in explanatory models.
Includes bibliographical references.
Mobile communication systems.
Mobile commerce.
Telecommunication systems.
Consumer satisfaction.
3-631-56487-2
Forschungsergebnisse der Wirtschaftsuniversität Wien
language English
format eBook
author Dickinger, Astrid.
spellingShingle Dickinger, Astrid.
Perceived Quality of Mobile Services : A Segment-Specific Analysis.
Forschungsergebnisse der Wirtschaftsuniversitaet Wien Series ;
Cover -- 1 INTRODUCTION -- 1.1 RESEARCH QUESTIONS AND AIMS -- 1.2 IMPLICATIONS -- 1.3 RESEARCH DESIGN -- 1.4 STRUCTURE -- 2 THE EXPLORATIVE RESEARCH -- 2.1 A BRIEF SUMMARY OF QUALITATIVE RESEARCH -- 2.1.1 Advantages and Disadvantages of Qualitative Research Methods -- 2.1.2 Preparing for the Field and the Selection of Experts -- 2.1.3 Qualitative Interviewing -- 2.1.4 Qualitative Data Processing and Analyzing -- 2.2 CARRYING OUT THE QUALITATIVE RESEARCH -- 3 THE M-COMMERCE VALUE CHAIN -- 3.1 THE BASIC MODEL -- 3.2 INFRASTRUCTURE AND SERVICES -- 3.2.1 Mobile Transport -- 3.2.2 Mobile Interface and Applications -- 3.2.2.1 Mobile Phones -- 3.2.2.1.1 Phones as Portable Entertainment Players -- 3.2.2.1.2 Phones as a New Marketing Tool for Retailers and Manufacturers -- 3.2.2.1.3 Phones as a Multi-Channel Shopping Device -- 3.2.2.1.4 Phones as Portable Navigation Guides -- 3.2.2.1.5 Phones as Tickets and Money -- 3.2.2.1.6 Phones as a Mobile Internet Device -- 3.2.3 Mobile Service Technologies and Delivery Support -- 3.2.3.1 Messaging Services -- 3.2.3.2 Security and Privacy -- 3.3 CONTENT -- 3.3.1 Content Creation -- 3.3.2 Content Packaging -- 3.3.3 Market Making -- 3.4 THE MOBILE USER -- 4 MOBILE SERVICES -- 4.1 CHARACTERISTICS OF MOBILE SERVICES -- 4.2 TYPES OF MOBILE SERVICES -- 4.2.1 Information Services -- 4.2.2 Entertainment Services -- 4.2.3 Transaction Services -- 4.2.4 Communication Services -- 4.2.5 Mobile Marketing Services -- 4.2.5.1 Mobile Branding -- 4.2.5.2 Mobile CRM -- 4.2.5.3 Mobile Advertising -- 4.2.5.4 Mobile Market Research -- 5 THEORETICAL AND METHODOLOGICAL FRAMEWORK -- 5.1 RELEVANCE OF THE THEORETICAL FRAMEWORK -- 5.2 DIFFUSION AND ADOPTION THEORIES -- 5.2.1 Diffusion of Innovations -- 5.2.2 Social Cognitive Theory -- 5.2.3 Theory of Planned Behavior &amp -- Theory of Reasoned Action -- 5.2.4 The Technology Acceptance Model.
5.2.5 Task Technology Fit Model -- 5.2.6 Motivational Model -- 5.2.7 Unified Theory of Acceptance and Use of Technology -- 5.2.8 Comparative Analysis of Adoption Models -- 5.3 SERVICE QUALITY -- 5.3.1 Donabedian's Model -- 5.3.2 Grönroos' Model -- 5.3.3 Parasuraman, Zeithaml, Berry -- 5.3.4 Measurement of Service Quality -- 5.3.4.1 SERVQUAL -- 5.3.4.2 SERVPERF -- 5.3.5 Internet Quality -- 5.3.5.1 E-S-Quality -- 5.3.5.2 EC-SERVQUAL -- 5.3.5.3 WebQual by Barnes and Vidgen -- 5.3.5.4 WebQual by Loiacono, Watson and Goodhue -- 5.3.5.5 DeLone and McLean's Model of IS Success -- 5.3.5.6 Sitequal -- 5.3.5.7 eTailQ -- 5.3.5.8 Attitude Toward the Site - AST -- 5.4 BEHAVIORAL CONSEQUENCES OF PERCEIVED SERVICE QUALITY -- 5.4.1 Loyalty -- 5.4.1.1 Day's Two-Dimensional Loyalty Concept -- 5.4.1.2 Loyalty According to Jacoby, Chestnut and Kymer -- 5.4.1.3 The Dick and Basu Loyalty Approach -- 5.4.1.4 Oliver's Dynamic Loyalty Perspective -- 5.4.1.5 Measuring Loyalty -- 5.4.1.6 The Relationship between Customer Satisfaction and Loyalty -- 5.4.2 Value -- 5.4.2.1 Utilitarian Approach to Perceived Value -- 5.4.2.2 Behavioral Approach to Perceived Value -- 5.5 DISCUSSION OF THE RELEVANT MODELS AND CONSTRUCTS -- 5.6 CAUSAL MODELING -- 5.6.1 Causal Models -- 5.6.2 Usage Areas for Causal Models -- 5.6.3 Steps for Structural Equation Modeling -- 5.6.3.1 Model Specification -- 5.6.3.2 Model Identification -- 5.6.3.3 Parameter Estimates -- 5.6.3.4 Model Evaluation Measures -- 5.6.4 M-Plus -- 5.6.4.1 Particularities Estimating Models with Categorical Data -- 5.6.4.2 Estimators in Mplus -- 5.6.4.3 Fit Indices for Categorical Variables -- 6 HYPOTHESES DEVELOPMENT AND MODEL SPECIFICATION -- 6.1 PERCEPTUAL ATTRIBUTES -- 6.2 HIGHER ORDER ABSTRACTIONS -- 6.3 BEHAVIORAL OUTCOMES -- 6.4 MODERATOR EFFECTS -- 6.4.1 Innovativeness -- 6.4.2 Experience -- 6.4.3 Age.
7 OPERATIONALIZATION OF THE CONSTRUCTS -- 8 DATA COLLECTION -- 8.1 QUESTIONNAIRE DESIGN -- 8.2 SAMPLING AND SAMPLE SIZE -- 8.3 PRETEST -- 8.4 THE FIELD PHASE -- 9 EMPIRICAL TEST AND ANALYSES -- 9.1 RESPONSE RATE -- 9.2 SAMPLE STRUCTURE -- 9.2.1 Profile of m-parking Users and Non-Users -- 9.2.2 M-Services Usage Behavior -- 9.2.3 M-Parking Usage -- 9.2.4 Data Structure -- 9.3 TEST RESULTS -- 9.3.1 Test of the Hypothesized Model -- 9.3.1.1 Test of the Measurement Model -- 9.3.2 Using Dichotomous Variables for Model Test -- 9.3.2.1 The Measurement Model Using Dichotomous Variables -- 9.3.3 Summary and Interpretation of Findings from the Model Test -- 9.4 ALTERNATIVE MODELS -- 9.4.1 Alternative 1 -- 9.4.2 Alternative 2 -- 9.5 SEARCHING FOR HETEROGENEITY -- 9.5.1 Multiple Group Analysis -- 9.5.1.1 Innovativeness as Grouping Variable -- 9.5.1.2 Experience as Grouping Variable -- 9.5.1.3 Age as Grouping Variable -- 9.5.2 Latent Class Analysis -- 9.5.2.1 Model Differences -- 9.5.2.2 Distinct Characteristics of the Classes Identified -- 9.5.2.2.1 Class One: Mobile Service Skeptics -- 9.5.2.2.2 Class Two: Undecided Users -- 9.5.2.2.3 Class Three: Cautious Innovators -- 9.5.2.2.4 Class Four: Mobile Service Lovers -- 10 CONCLUSIONS -- 10.1 IMPLICATIONS FOR FUTURE RESEARCH -- 10.2 IMPLICATIONS FOR INDUSTRY -- 11 REFERENCES -- 12 APPENDIX - QUESTIONNAIRE.
author_facet Dickinger, Astrid.
author_variant a d ad
author_sort Dickinger, Astrid.
title Perceived Quality of Mobile Services : A Segment-Specific Analysis.
title_sub A Segment-Specific Analysis.
title_full Perceived Quality of Mobile Services : A Segment-Specific Analysis.
title_fullStr Perceived Quality of Mobile Services : A Segment-Specific Analysis.
title_full_unstemmed Perceived Quality of Mobile Services : A Segment-Specific Analysis.
title_auth Perceived Quality of Mobile Services : A Segment-Specific Analysis.
title_alt Perceived Quality of Mobile Services
title_new Perceived Quality of Mobile Services :
title_sort perceived quality of mobile services : a segment-specific analysis.
series Forschungsergebnisse der Wirtschaftsuniversitaet Wien Series ;
series2 Forschungsergebnisse der Wirtschaftsuniversitaet Wien Series ;
publisher Peter Lang GmbH, Internationaler Verlag der Wissenschaften,
publishDate 2007
physical 1 online resource (206 pages)
edition 1st ed.
contents Cover -- 1 INTRODUCTION -- 1.1 RESEARCH QUESTIONS AND AIMS -- 1.2 IMPLICATIONS -- 1.3 RESEARCH DESIGN -- 1.4 STRUCTURE -- 2 THE EXPLORATIVE RESEARCH -- 2.1 A BRIEF SUMMARY OF QUALITATIVE RESEARCH -- 2.1.1 Advantages and Disadvantages of Qualitative Research Methods -- 2.1.2 Preparing for the Field and the Selection of Experts -- 2.1.3 Qualitative Interviewing -- 2.1.4 Qualitative Data Processing and Analyzing -- 2.2 CARRYING OUT THE QUALITATIVE RESEARCH -- 3 THE M-COMMERCE VALUE CHAIN -- 3.1 THE BASIC MODEL -- 3.2 INFRASTRUCTURE AND SERVICES -- 3.2.1 Mobile Transport -- 3.2.2 Mobile Interface and Applications -- 3.2.2.1 Mobile Phones -- 3.2.2.1.1 Phones as Portable Entertainment Players -- 3.2.2.1.2 Phones as a New Marketing Tool for Retailers and Manufacturers -- 3.2.2.1.3 Phones as a Multi-Channel Shopping Device -- 3.2.2.1.4 Phones as Portable Navigation Guides -- 3.2.2.1.5 Phones as Tickets and Money -- 3.2.2.1.6 Phones as a Mobile Internet Device -- 3.2.3 Mobile Service Technologies and Delivery Support -- 3.2.3.1 Messaging Services -- 3.2.3.2 Security and Privacy -- 3.3 CONTENT -- 3.3.1 Content Creation -- 3.3.2 Content Packaging -- 3.3.3 Market Making -- 3.4 THE MOBILE USER -- 4 MOBILE SERVICES -- 4.1 CHARACTERISTICS OF MOBILE SERVICES -- 4.2 TYPES OF MOBILE SERVICES -- 4.2.1 Information Services -- 4.2.2 Entertainment Services -- 4.2.3 Transaction Services -- 4.2.4 Communication Services -- 4.2.5 Mobile Marketing Services -- 4.2.5.1 Mobile Branding -- 4.2.5.2 Mobile CRM -- 4.2.5.3 Mobile Advertising -- 4.2.5.4 Mobile Market Research -- 5 THEORETICAL AND METHODOLOGICAL FRAMEWORK -- 5.1 RELEVANCE OF THE THEORETICAL FRAMEWORK -- 5.2 DIFFUSION AND ADOPTION THEORIES -- 5.2.1 Diffusion of Innovations -- 5.2.2 Social Cognitive Theory -- 5.2.3 Theory of Planned Behavior &amp -- Theory of Reasoned Action -- 5.2.4 The Technology Acceptance Model.
5.2.5 Task Technology Fit Model -- 5.2.6 Motivational Model -- 5.2.7 Unified Theory of Acceptance and Use of Technology -- 5.2.8 Comparative Analysis of Adoption Models -- 5.3 SERVICE QUALITY -- 5.3.1 Donabedian's Model -- 5.3.2 Grönroos' Model -- 5.3.3 Parasuraman, Zeithaml, Berry -- 5.3.4 Measurement of Service Quality -- 5.3.4.1 SERVQUAL -- 5.3.4.2 SERVPERF -- 5.3.5 Internet Quality -- 5.3.5.1 E-S-Quality -- 5.3.5.2 EC-SERVQUAL -- 5.3.5.3 WebQual by Barnes and Vidgen -- 5.3.5.4 WebQual by Loiacono, Watson and Goodhue -- 5.3.5.5 DeLone and McLean's Model of IS Success -- 5.3.5.6 Sitequal -- 5.3.5.7 eTailQ -- 5.3.5.8 Attitude Toward the Site - AST -- 5.4 BEHAVIORAL CONSEQUENCES OF PERCEIVED SERVICE QUALITY -- 5.4.1 Loyalty -- 5.4.1.1 Day's Two-Dimensional Loyalty Concept -- 5.4.1.2 Loyalty According to Jacoby, Chestnut and Kymer -- 5.4.1.3 The Dick and Basu Loyalty Approach -- 5.4.1.4 Oliver's Dynamic Loyalty Perspective -- 5.4.1.5 Measuring Loyalty -- 5.4.1.6 The Relationship between Customer Satisfaction and Loyalty -- 5.4.2 Value -- 5.4.2.1 Utilitarian Approach to Perceived Value -- 5.4.2.2 Behavioral Approach to Perceived Value -- 5.5 DISCUSSION OF THE RELEVANT MODELS AND CONSTRUCTS -- 5.6 CAUSAL MODELING -- 5.6.1 Causal Models -- 5.6.2 Usage Areas for Causal Models -- 5.6.3 Steps for Structural Equation Modeling -- 5.6.3.1 Model Specification -- 5.6.3.2 Model Identification -- 5.6.3.3 Parameter Estimates -- 5.6.3.4 Model Evaluation Measures -- 5.6.4 M-Plus -- 5.6.4.1 Particularities Estimating Models with Categorical Data -- 5.6.4.2 Estimators in Mplus -- 5.6.4.3 Fit Indices for Categorical Variables -- 6 HYPOTHESES DEVELOPMENT AND MODEL SPECIFICATION -- 6.1 PERCEPTUAL ATTRIBUTES -- 6.2 HIGHER ORDER ABSTRACTIONS -- 6.3 BEHAVIORAL OUTCOMES -- 6.4 MODERATOR EFFECTS -- 6.4.1 Innovativeness -- 6.4.2 Experience -- 6.4.3 Age.
7 OPERATIONALIZATION OF THE CONSTRUCTS -- 8 DATA COLLECTION -- 8.1 QUESTIONNAIRE DESIGN -- 8.2 SAMPLING AND SAMPLE SIZE -- 8.3 PRETEST -- 8.4 THE FIELD PHASE -- 9 EMPIRICAL TEST AND ANALYSES -- 9.1 RESPONSE RATE -- 9.2 SAMPLE STRUCTURE -- 9.2.1 Profile of m-parking Users and Non-Users -- 9.2.2 M-Services Usage Behavior -- 9.2.3 M-Parking Usage -- 9.2.4 Data Structure -- 9.3 TEST RESULTS -- 9.3.1 Test of the Hypothesized Model -- 9.3.1.1 Test of the Measurement Model -- 9.3.2 Using Dichotomous Variables for Model Test -- 9.3.2.1 The Measurement Model Using Dichotomous Variables -- 9.3.3 Summary and Interpretation of Findings from the Model Test -- 9.4 ALTERNATIVE MODELS -- 9.4.1 Alternative 1 -- 9.4.2 Alternative 2 -- 9.5 SEARCHING FOR HETEROGENEITY -- 9.5.1 Multiple Group Analysis -- 9.5.1.1 Innovativeness as Grouping Variable -- 9.5.1.2 Experience as Grouping Variable -- 9.5.1.3 Age as Grouping Variable -- 9.5.2 Latent Class Analysis -- 9.5.2.1 Model Differences -- 9.5.2.2 Distinct Characteristics of the Classes Identified -- 9.5.2.2.1 Class One: Mobile Service Skeptics -- 9.5.2.2.2 Class Two: Undecided Users -- 9.5.2.2.3 Class Three: Cautious Innovators -- 9.5.2.2.4 Class Four: Mobile Service Lovers -- 10 CONCLUSIONS -- 10.1 IMPLICATIONS FOR FUTURE RESEARCH -- 10.2 IMPLICATIONS FOR INDUSTRY -- 11 REFERENCES -- 12 APPENDIX - QUESTIONNAIRE.
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dewey-hundreds 600 - Technology
dewey-tens 650 - Management & public relations
dewey-ones 658 - General management
dewey-full 658.812
dewey-sort 3658.812
dewey-raw 658.812
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"><subfield code="a">1st ed.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Frankfurt a.M. :</subfield><subfield code="b">Peter Lang GmbH, Internationaler Verlag der Wissenschaften,</subfield><subfield code="c">2007.</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2008.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (206 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Forschungsergebnisse der Wirtschaftsuniversitaet Wien Series ;</subfield><subfield code="v">v.18.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Creative Commons Attribution 4.0 International</subfield><subfield code="f">CC BY 4.0</subfield><subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="f">Unrestricted online access</subfield><subfield code="2">star</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Cover -- 1 INTRODUCTION -- 1.1 RESEARCH QUESTIONS AND AIMS -- 1.2 IMPLICATIONS -- 1.3 RESEARCH DESIGN -- 1.4 STRUCTURE -- 2 THE EXPLORATIVE RESEARCH -- 2.1 A BRIEF SUMMARY OF QUALITATIVE RESEARCH -- 2.1.1 Advantages and Disadvantages of Qualitative Research Methods -- 2.1.2 Preparing for the Field and the Selection of Experts -- 2.1.3 Qualitative Interviewing -- 2.1.4 Qualitative Data Processing and Analyzing -- 2.2 CARRYING OUT THE QUALITATIVE RESEARCH -- 3 THE M-COMMERCE VALUE CHAIN -- 3.1 THE BASIC MODEL -- 3.2 INFRASTRUCTURE AND SERVICES -- 3.2.1 Mobile Transport -- 3.2.2 Mobile Interface and Applications -- 3.2.2.1 Mobile Phones -- 3.2.2.1.1 Phones as Portable Entertainment Players -- 3.2.2.1.2 Phones as a New Marketing Tool for Retailers and Manufacturers -- 3.2.2.1.3 Phones as a Multi-Channel Shopping Device -- 3.2.2.1.4 Phones as Portable Navigation Guides -- 3.2.2.1.5 Phones as Tickets and Money -- 3.2.2.1.6 Phones as a Mobile Internet Device -- 3.2.3 Mobile Service Technologies and Delivery Support -- 3.2.3.1 Messaging Services -- 3.2.3.2 Security and Privacy -- 3.3 CONTENT -- 3.3.1 Content Creation -- 3.3.2 Content Packaging -- 3.3.3 Market Making -- 3.4 THE MOBILE USER -- 4 MOBILE SERVICES -- 4.1 CHARACTERISTICS OF MOBILE SERVICES -- 4.2 TYPES OF MOBILE SERVICES -- 4.2.1 Information Services -- 4.2.2 Entertainment Services -- 4.2.3 Transaction Services -- 4.2.4 Communication Services -- 4.2.5 Mobile Marketing Services -- 4.2.5.1 Mobile Branding -- 4.2.5.2 Mobile CRM -- 4.2.5.3 Mobile Advertising -- 4.2.5.4 Mobile Market Research -- 5 THEORETICAL AND METHODOLOGICAL FRAMEWORK -- 5.1 RELEVANCE OF THE THEORETICAL FRAMEWORK -- 5.2 DIFFUSION AND ADOPTION THEORIES -- 5.2.1 Diffusion of Innovations -- 5.2.2 Social Cognitive Theory -- 5.2.3 Theory of Planned Behavior &amp;amp -- Theory of Reasoned Action -- 5.2.4 The Technology Acceptance Model.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">5.2.5 Task Technology Fit Model -- 5.2.6 Motivational Model -- 5.2.7 Unified Theory of Acceptance and Use of Technology -- 5.2.8 Comparative Analysis of Adoption Models -- 5.3 SERVICE QUALITY -- 5.3.1 Donabedian's Model -- 5.3.2 Grönroos' Model -- 5.3.3 Parasuraman, Zeithaml, Berry -- 5.3.4 Measurement of Service Quality -- 5.3.4.1 SERVQUAL -- 5.3.4.2 SERVPERF -- 5.3.5 Internet Quality -- 5.3.5.1 E-S-Quality -- 5.3.5.2 EC-SERVQUAL -- 5.3.5.3 WebQual by Barnes and Vidgen -- 5.3.5.4 WebQual by Loiacono, Watson and Goodhue -- 5.3.5.5 DeLone and McLean's Model of IS Success -- 5.3.5.6 Sitequal -- 5.3.5.7 eTailQ -- 5.3.5.8 Attitude Toward the Site - AST -- 5.4 BEHAVIORAL CONSEQUENCES OF PERCEIVED SERVICE QUALITY -- 5.4.1 Loyalty -- 5.4.1.1 Day's Two-Dimensional Loyalty Concept -- 5.4.1.2 Loyalty According to Jacoby, Chestnut and Kymer -- 5.4.1.3 The Dick and Basu Loyalty Approach -- 5.4.1.4 Oliver's Dynamic Loyalty Perspective -- 5.4.1.5 Measuring Loyalty -- 5.4.1.6 The Relationship between Customer Satisfaction and Loyalty -- 5.4.2 Value -- 5.4.2.1 Utilitarian Approach to Perceived Value -- 5.4.2.2 Behavioral Approach to Perceived Value -- 5.5 DISCUSSION OF THE RELEVANT MODELS AND CONSTRUCTS -- 5.6 CAUSAL MODELING -- 5.6.1 Causal Models -- 5.6.2 Usage Areas for Causal Models -- 5.6.3 Steps for Structural Equation Modeling -- 5.6.3.1 Model Specification -- 5.6.3.2 Model Identification -- 5.6.3.3 Parameter Estimates -- 5.6.3.4 Model Evaluation Measures -- 5.6.4 M-Plus -- 5.6.4.1 Particularities Estimating Models with Categorical Data -- 5.6.4.2 Estimators in Mplus -- 5.6.4.3 Fit Indices for Categorical Variables -- 6 HYPOTHESES DEVELOPMENT AND MODEL SPECIFICATION -- 6.1 PERCEPTUAL ATTRIBUTES -- 6.2 HIGHER ORDER ABSTRACTIONS -- 6.3 BEHAVIORAL OUTCOMES -- 6.4 MODERATOR EFFECTS -- 6.4.1 Innovativeness -- 6.4.2 Experience -- 6.4.3 Age.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">7 OPERATIONALIZATION OF THE CONSTRUCTS -- 8 DATA COLLECTION -- 8.1 QUESTIONNAIRE DESIGN -- 8.2 SAMPLING AND SAMPLE SIZE -- 8.3 PRETEST -- 8.4 THE FIELD PHASE -- 9 EMPIRICAL TEST AND ANALYSES -- 9.1 RESPONSE RATE -- 9.2 SAMPLE STRUCTURE -- 9.2.1 Profile of m-parking Users and Non-Users -- 9.2.2 M-Services Usage Behavior -- 9.2.3 M-Parking Usage -- 9.2.4 Data Structure -- 9.3 TEST RESULTS -- 9.3.1 Test of the Hypothesized Model -- 9.3.1.1 Test of the Measurement Model -- 9.3.2 Using Dichotomous Variables for Model Test -- 9.3.2.1 The Measurement Model Using Dichotomous Variables -- 9.3.3 Summary and Interpretation of Findings from the Model Test -- 9.4 ALTERNATIVE MODELS -- 9.4.1 Alternative 1 -- 9.4.2 Alternative 2 -- 9.5 SEARCHING FOR HETEROGENEITY -- 9.5.1 Multiple Group Analysis -- 9.5.1.1 Innovativeness as Grouping Variable -- 9.5.1.2 Experience as Grouping Variable -- 9.5.1.3 Age as Grouping Variable -- 9.5.2 Latent Class Analysis -- 9.5.2.1 Model Differences -- 9.5.2.2 Distinct Characteristics of the Classes Identified -- 9.5.2.2.1 Class One: Mobile Service Skeptics -- 9.5.2.2.2 Class Two: Undecided Users -- 9.5.2.2.3 Class Three: Cautious Innovators -- 9.5.2.2.4 Class Four: Mobile Service Lovers -- 10 CONCLUSIONS -- 10.1 IMPLICATIONS FOR FUTURE RESEARCH -- 10.2 IMPLICATIONS FOR INDUSTRY -- 11 REFERENCES -- 12 APPENDIX - QUESTIONNAIRE.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The book investigates user satisfaction with mobile services, the perceived quality of m-commerce products, and the loyalty towards service providers. After introducing the m-commerce value chain and emerging mobile services, the first part examines relevant theories from diffusion of innovations and service quality to mobile services, and identifies new trends in the mobile communication market. The book demonstrates to what extent service quality and adoption theories of consumer behavior literature explain the (repeated) usage of mobile services, and how the results differ by user segments. A-priori and a-posteriori segmentations provide detailed insights. The results indicate that it is important to consider (un)observed heterogeneity in explanatory models.</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Mobile communication systems.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Mobile commerce.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Telecommunication systems.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Consumer satisfaction.</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-631-56487-2</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Forschungsergebnisse der Wirtschaftsuniversität Wien</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2024-04-26 02:59:02 Europe/Vienna</subfield><subfield code="d">00</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2019-03-02 22:06:07 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&amp;portfolio_pid=5337361810004498&amp;Force_direct=true</subfield><subfield code="Z">5337361810004498</subfield><subfield code="b">Available</subfield><subfield code="8">5337361810004498</subfield></datafield></record></collection>