Factors influencing the adoption of mass customization: determinats, moderating variables and cross-national generalizability
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Buch |
| Sprache: | German |
| Veröffentlicht: |
Göttingen
Cuvillier
2006
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| Ausgabe: | 1. Aufl. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Zugl.: Köln, Univ., Diss., 2006 |
| Beschreibung: | IX, 188 S. graph. Darst. |
| ISBN: | 9783865379177 3865379176 |
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| 100 | 1 | |a Kaplan, Andreas M. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Factors influencing the adoption of mass customization |b determinats, moderating variables and cross-national generalizability |c Andreas M. Kaplan |
| 250 | |a 1. Aufl. | ||
| 264 | 1 | |a Göttingen |b Cuvillier |c 2006 | |
| 300 | |a IX, 188 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
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| 500 | |a Zugl.: Köln, Univ., Diss., 2006 | ||
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Datensatz im Suchindex
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| adam_text | Table of contents V
I. Table of contents
I. Table of contents Y
II. List of figures VII
III. List of tables VIII
1. INTRODUCTION 1
1.1. Factors influencing the adoption of mass customization 1
1.2. Thesis objectives and research questions 3
1.3. Scientific philosophy and approach 5
1.4. Thesis structure 6
2. LITERATURE REVIEW 7
2.1. Mass customization 7
2.1.1. Definition of traditional and electronic mass customization 7
2.1.1.1. Traditional mass customization 11
2.1.1.2. Electronic mass customization 19
2.1.2. Levels of mass customization 21
2.1.3. Origin and evolution of mass customization 22
2.1.4. Enablers of mass customization 24
2.1.5. Perspectives in mass customization 27
2.1.5.1. Customer s perspective 28
2.1.5.2. Information system perspective 31
2.2. Technology Acceptance Model 34
2.2.1. Research of technology acceptance 34
2.2.2. Model and constructs 38
2.2.3. Model evolution and extensions 40
2.2.4. Fields of application 41
2.2.5. Strengths and weaknesses 42
3. RESEARCH STUDY 45
3.1. Research questions and propositions 45
3.1.1. Research question 1: Direct influence of PEOU and PU on BI 46
3.1.2. Research question 2: Investigation of moderating effects 48
3.1.3. Research question 3: Cross national generalizability of the TAM 53
3.2. Example of newspaper 55
3.2.1. Definitions 56
3.2.2. Product and market characteristics 57
3.2.3. Applicability of mass customization 57
3.3. Data 60
3.3.1. Data collection 60
3.3.1.1. German sample 60
3.3.1.2. French sample 60
3.3.2. Data description 61
3.3.2.1. German sample 61
3.3.2.2. French sample 63
VI Factors influencing the adoption of mass customization
4. STATISTICAL METHODS APPLIED 65
4.1. Partial least square (PLS) analysis 65
4.1.1. First generation techniques versus second generation techniques 65
4.1.2. Theories and structural equation modeling 67
4.1.3. Covariance based SEM versus variance based SEM 70
4.2. Latent class analysis 75
4.2.1. Definition and importance of heterogeneity 75
4.2.2. Statistical methods suited for analysis of heterogeneity 76
4.2.3. Heterogeneity within structural equation modeling 77
4.3. Statistical power analysis 78
4.3.1. Statistical significance 78
4.3.2. Managerial significance and effect size 80
4.3.3. Statistical versus managerial significance 81
5. DATA ANALYSIS AND RESULTS 83
5.1. Research question 1: Direct influence of PEOU and PU on BI 83
5.1.1. Step 1: Latent class analysis 83
5.1.2. Step 2: Estimation of structural equation models using PLS analysis 87
5.1.3. Step 3: Comparison of PLS models to detect significant differences 91
5.2. Research question 2: Investigation of moderating effects 93
5.2.1. Analysis of non latent moderating variables 93
5.2.2. Analysis of latent moderating variables 101
5.3. Research question 3: Cross national generalizability of the TAM 103
6. DISCUSSION 107
6.1. Interpretation of results 107
6.1.1. Research question 1: Direct influence of PEOU and PU on BI 107
6.1.2. Research question 2: Investigation of moderating effects 110
6.1.3. Research question 3: Cross national generalizability of the TAM 114
6.2. Limitations of current study 116
6.3. Propositions for future research 119
7. CONCLUSION 123
7.1. Summary and key findings 123
7.2. Contribution to the scientific community 125
7.3. Managerial relevance 127
8. APPENDIX 131
8.1. Questionnaires 131
8.1.1. German questionnaire 131
8.1.2. French questionnaire ..158
8.1.3. Main questions translated into English 163
8.2. Further results 167
9. BIBLIOGRAPHY 171
List of figures VII
II. List of figures
Figure 2 1 Mass customization along the value chain (adapted om Porter 1985) p. 14
p. „ y Dimensions of electronic mass customization
gUre (adapted from Choi etal. 1997) p 2U
„. _ , Convergent trends in marketing and manufacturing
figures (Halliburton and Jones 1994, p. 84) P Z3
p. j . Porter s theory of generic strategies (1980, p. 39)
and concept of stuck in the middle (1980, p. 43)
Figure 2 5 The Technology Acceptance Model p. 38
p. . The original Technology Acceptance Model
figure z b (Davis 1985, p. 195) P 4U
Figure 3 1 TAM applied p. 46
Figure 3 2 Comparison French German sample: Age p. 63
p. ~ Comparison French German sample: ,,
™ Base category consumption frequency
p. . Relationship between theory and path diagram / arrow scheme
figure 4 1 (Bagozzi and Philipps 1982; Diamantopoulos 1994) P
Figure 4 2 Reflective versus formative indicators p. 69
, .. ,, Differences between covariance and variance based SHM
FlgUre4 3 (HaenleIn2004,p.75) P 74
Figure 4 4 Types of heterogeneity and associated statistical methods p. 76
Figure 5 1 Structural models p 87
Figure 5 2 Basic structural model estimated using all available subjects p. 93
Figure 5 3 Procedure followed to detect interpretablc patterns p. 96
Figure 5 4 PLS Product indicator approach 102
Example: Moderator base category need satisfaction r
Figure 5 5 Structural models estimated for French and German samples p. 103
VIII Factors influencing the adoption of mass customization
III. List of tables
Table 2 1 Overview of definnions of MC used in the literature p. 8
Table 3 1 Demographics of German sample (2,114 subjects) p. 62
Table 4 1 Type I and type II error p 79
Table 4 2 Cohen s standards for effect sizes p. 80
Table 5 1 Operalionalr/alinn of base category need satisfaction / dissatisfaction p. 84
Table 5 2 Results of latent class analysis p. 85
T hi 5 3 Distribution of respondents according to base category need gj
; * e satisfaction / dissatisfaction
Distribution of respondents according to single indicators used to „,
operationalize base category need satisfaction / dissatisfaction
_ ,. „ _ Indicator loadings within latent classes and whole sample au
(Assessment of individual ircm reliability)
l.iMi ^ !¦ . .i «i:viii ¦¦[ .i.ii| .i. k!i.iI i!ii . ;¦ ¦¦*¦*
_ ,. . 7 Average variance extracted within latent classes and whole sample no
(Assessment of convergent validity)
_ . , . „ Indicator loadings within latent classes and whole sample Q0
Table 5 8 , ,°. . . .... ... f p. 89
(Assessment of discriminant validity on indicator level)
,. ,„ Variance shared fot latent classes and whole sample oq
(Assessment of discriminant validity on construct level)
Table 5 10 Rz for dependent latent variables for latent classes and whole sample p. 90
T hi 5 11 Effect s ze (f) °f different path coefficients for latent classes and whole n.Q
sample ^
Table 5 12 Stone Gcisscr Q2 for latent classes and whole sample p. 90
Tabl 5 13 Significance test of path coefficients within latent classes and whole ^
sample ^
T bl 5 14 Comparison of path coefficients across latent classes: nj
Calculation of t values
TU . ,, Comparison of path coefficients across latent classes: o1
Table 5 15 r • • t i ¦ r ¦ . . . p. v/
Critical t values resulting from statistical power analysis
Table 5 16 Non latent moderating variables p. 94
List of tables IX
Table 5 17 Mcxleraling variable: Age p. 95
Table 5 18 Moderating variable: Gender p. 96
Table 5 19 Moderating variable: Education p. 97
Table 5 20 Moderating variable: Household income p. 98
Table 5 21 Moderating variable: Social level p. 99
Table 5 22 Moderating variable: Base category consumption frequency P 99
Table 5 23 Moderating variable: Private Internet access p. 100
, Indicator loadings and weights for French (F) and German (G) samples ,
(Assessment or individual item reliability)
_ , . „ Indicator loadings for French (F) and German (G) samples . q.
e (Assessment of discriminant validity on indicator level)
, Variance shared for French (F) and German (G) samples . „,
(Assessment of discriminant validity on construct level
_ ,, . „ Significance test of path coefficients for French (F) .„
and German (G) samples
Table 5 28 Comparison Path significance p. 105
T bl 6 1 Distribution of newspaper reading habits across the three latent classes „ JQ8
and whole sample •.• ¦¦ •
¦y. ii,/ j Distribution of demographic characteristics across the three latent jq^
classes and whole sample
Table 6 3 Moderating variables: Summary p. 110
_ , , . . Cultural differences between Germany and France: ., r
Table 6 4 p. 11 j
Hofstede s cultural dimensions
Table 8 1 Moderating variable: Household size p. 167
Table 8 2 Moderating variable: Urbanization type p. 168
Table 8 3 Moderating variable: Number of residents p. 168
Table 8 4 Moderating variable: Labor market position p. 169
|
| adam_txt |
Table of contents V
I. Table of contents
I. Table of contents Y
II. List of figures VII
III. List of tables VIII
1. INTRODUCTION 1
1.1. Factors influencing the adoption of mass customization 1
1.2. Thesis objectives and research questions 3
1.3. Scientific philosophy and approach 5
1.4. Thesis structure 6
2. LITERATURE REVIEW 7
2.1. Mass customization 7
2.1.1. Definition of traditional and electronic mass customization 7
2.1.1.1. Traditional mass customization 11
2.1.1.2. Electronic mass customization 19
2.1.2. Levels of mass customization 21
2.1.3. Origin and evolution of mass customization 22
2.1.4. Enablers of mass customization 24
2.1.5. Perspectives in mass customization 27
2.1.5.1. Customer's perspective 28
2.1.5.2. Information system perspective 31
2.2. Technology Acceptance Model 34
2.2.1. Research of technology acceptance 34
2.2.2. Model and constructs 38
2.2.3. Model evolution and extensions 40
2.2.4. Fields of application 41
2.2.5. Strengths and weaknesses 42
3. RESEARCH STUDY 45
3.1. Research questions and propositions 45
3.1.1. Research question 1: Direct influence of PEOU and PU on BI 46
3.1.2. Research question 2: Investigation of moderating effects 48
3.1.3. Research question 3: Cross national generalizability of the TAM 53
3.2. Example of newspaper 55
3.2.1. Definitions 56
3.2.2. Product and market characteristics 57
3.2.3. Applicability of mass customization 57
3.3. Data 60
3.3.1. Data collection 60
3.3.1.1. German sample 60
3.3.1.2. French sample 60
3.3.2. Data description 61
3.3.2.1. German sample 61
3.3.2.2. French sample 63
VI Factors influencing the adoption of mass customization
4. STATISTICAL METHODS APPLIED 65
4.1. Partial least square (PLS) analysis 65
4.1.1. First generation techniques versus second generation techniques 65
4.1.2. Theories and structural equation modeling 67
4.1.3. Covariance based SEM versus variance based SEM 70
4.2. Latent class analysis 75
4.2.1. Definition and importance of heterogeneity 75
4.2.2. Statistical methods suited for analysis of heterogeneity 76
4.2.3. Heterogeneity within structural equation modeling 77
4.3. Statistical power analysis 78
4.3.1. Statistical significance 78
4.3.2. Managerial significance and effect size 80
4.3.3. Statistical versus managerial significance 81
5. DATA ANALYSIS AND RESULTS 83
5.1. Research question 1: Direct influence of PEOU and PU on BI 83
5.1.1. Step 1: Latent class analysis 83
5.1.2. Step 2: Estimation of structural equation models using PLS analysis 87
5.1.3. Step 3: Comparison of PLS models to detect significant differences 91
5.2. Research question 2: Investigation of moderating effects 93
5.2.1. Analysis of non latent moderating variables 93
5.2.2. Analysis of latent moderating variables 101
5.3. Research question 3: Cross national generalizability of the TAM 103
6. DISCUSSION 107
6.1. Interpretation of results 107
6.1.1. Research question 1: Direct influence of PEOU and PU on BI 107
6.1.2. Research question 2: Investigation of moderating effects 110
6.1.3. Research question 3: Cross national generalizability of the TAM 114
6.2. Limitations of current study 116
6.3. Propositions for future research 119
7. CONCLUSION 123
7.1. Summary and key findings 123
7.2. Contribution to the scientific community 125
7.3. Managerial relevance 127
8. APPENDIX 131
8.1. Questionnaires 131
8.1.1. German questionnaire 131
8.1.2. French questionnaire .158
8.1.3. Main questions translated into English 163
8.2. Further results 167
9. BIBLIOGRAPHY 171
List of figures VII
II. List of figures
Figure 2 1 Mass customization along the value chain (adapted om Porter 1985) p. 14
p. „ y Dimensions of electronic mass customization
gUre (adapted from Choi etal. 1997) p' 2U
„. _ , Convergent trends in marketing and manufacturing
figures (Halliburton and Jones 1994, p. 84) P Z3
p. j . Porter's theory of generic strategies (1980, p. 39)
and concept of 'stuck in the middle' (1980, p. 43) "'
Figure 2 5 The Technology Acceptance Model p. 38
p. . The original Technology Acceptance Model
figure z b (Davis 1985, p. 195) P' 4U
Figure 3 1 TAM applied p. 46
Figure 3 2 Comparison French German sample: Age p. 63
p. ~ Comparison French German sample: ,,
™ Base category consumption frequency "'
p. . Relationship between theory and path diagram / arrow scheme
figure 4 1 (Bagozzi and Philipps 1982; Diamantopoulos 1994) P'
Figure 4 2 Reflective versus formative indicators p. 69
, . ,, Differences between covariance and variance based SHM
FlgUre4"3 (HaenleIn2004,p.75) P 74
Figure 4 4 Types of heterogeneity and associated statistical methods p. 76
Figure 5 1 Structural models p 87
Figure 5 2 Basic structural model estimated using all available subjects p. 93
Figure 5 3 Procedure followed to detect interpretablc patterns p. 96
Figure 5 4 PLS Product indicator approach 102
Example: Moderator base category need satisfaction r"
Figure 5 5 Structural models estimated for French and German samples p. 103
VIII Factors influencing the adoption of mass customization
III. List of tables
Table 2 1 Overview of definnions of MC used in the literature p. 8
Table 3 1 Demographics of German sample (2,114 subjects) p. 62
Table 4 1 Type I and type II error p 79
Table 4 2 Cohen's standards for effect sizes p. 80
Table 5 1 Operalionalr/alinn of 'base category need satisfaction / dissatisfaction' p. 84
Table 5 2 Results of latent class analysis p. 85
T'hi 5 3 Distribution of respondents according to 'base category need gj
; * e satisfaction / dissatisfaction'
Distribution of respondents according to single indicators used to „,
operationalize 'base category need satisfaction / dissatisfaction'
_ ,. „ _ Indicator loadings within latent classes and whole sample au
(Assessment of individual ircm reliability)
'l.iMi ^ !¦ .\".i «i:viii ¦¦[ .i.ii|'" .i. k!i.iI i!ii'. ;¦ ¦¦*¦*
_ ,. . 7 Average variance extracted within latent classes and whole sample no
(Assessment of convergent validity)
_ . , . „ Indicator loadings within latent classes and whole sample Q0
Table 5 8 , ,°. . . . . f p. 89
(Assessment of discriminant validity on indicator level)
,. ,„ Variance shared fot latent classes and whole sample oq
(Assessment of discriminant validity on construct level)
Table 5 10 Rz for dependent latent variables for latent classes and whole sample p. 90
T hi 5 11 Effect s'ze (f) °f different path coefficients for latent classes and whole n.Q
sample ^'
Table 5 12 Stone Gcisscr Q2 for latent classes and whole sample p. 90
Tabl 5 13 Significance test of path coefficients within latent classes and whole ^
sample ^'
T bl 5 14 Comparison of path coefficients across latent classes: nj
Calculation of t values "'
TU . ,, Comparison of path coefficients across latent classes: o1
Table 5 15 r • • t i ¦ r ¦ . . . p. v/
Critical t values resulting from statistical power analysis
Table 5 16 Non latent moderating variables p. 94
List of tables IX
Table 5 17 Mcxleraling variable: Age p. 95
Table 5 18 Moderating variable: Gender p. 96
Table 5 19 Moderating variable: Education p. 97
Table 5 20 Moderating variable: Household income p. 98
Table 5 21 Moderating variable: Social level p. 99
Table 5 22 Moderating variable: Base category consumption frequency P 99
Table 5 23 Moderating variable: Private Internet access p. 100
, Indicator loadings and weights for French (F) and German (G) samples ,
(Assessment or individual item reliability)
_ , . „ Indicator loadings for French (F) and German (G) samples . q.
e (Assessment of discriminant validity on indicator level)
, Variance shared for French (F) and German (G) samples . „,
(Assessment of discriminant validity on construct level
_ ,, . „ Significance test of path coefficients for French (F) .„
and German (G) samples
Table 5 28 Comparison Path significance p. 105
T bl 6 1 Distribution of newspaper reading habits across the three latent classes „ JQ8
and whole sample •.•"'¦¦ •
¦y. ii,/ j Distribution of demographic characteristics across the three latent jq^
classes and whole sample
Table 6 3 Moderating variables: Summary p. 110
_ , , . . Cultural differences between Germany and France: ., r
Table 6 4 ' p. 11 j
Hofstede's cultural dimensions
Table 8 1 Moderating variable: Household size p. 167
Table 8 2 Moderating variable: Urbanization type p. 168
Table 8 3 Moderating variable: Number of residents p. 168
Table 8 4 Moderating variable: Labor market position p. 169 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Kaplan, Andreas M. |
| author_facet | Kaplan, Andreas M. |
| author_role | aut |
| author_sort | Kaplan, Andreas M. |
| author_variant | a m k am amk |
| building | Verbundindex |
| bvnumber | BV022305034 |
| classification_rvk | QP 543 |
| ctrlnum | (OCoLC)226294507 (DE-599)BVBBV022305034 |
| dewey-full | 658.51 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.51 |
| dewey-search | 658.51 |
| dewey-sort | 3658.51 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Physik Wirtschaftswissenschaften |
| discipline_str_mv | Physik Wirtschaftswissenschaften |
| edition | 1. Aufl. |
| format | Book |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV022305034 |
| illustrated | Illustrated |
| index_date | 2024-07-02T16:56:27Z |
| indexdate | 2024-07-09T20:54:35Z |
| institution | BVB |
| isbn | 9783865379177 3865379176 |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015514947 |
| oclc_num | 226294507 |
| open_access_boolean | |
| owner | DE-945 DE-12 |
| owner_facet | DE-945 DE-12 |
| physical | IX, 188 S. graph. Darst. |
| publishDate | 2006 |
| publishDateSearch | 2006 |
| publishDateSort | 2006 |
| publisher | Cuvillier |
| record_format | marc |
| spelling | Kaplan, Andreas M. Verfasser aut Factors influencing the adoption of mass customization determinats, moderating variables and cross-national generalizability Andreas M. Kaplan 1. Aufl. Göttingen Cuvillier 2006 IX, 188 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Zugl.: Köln, Univ., Diss., 2006 Einflussgröße (DE-588)4209283-8 gnd rswk-swf Massenfertigung (DE-588)4037873-1 gnd rswk-swf Customization (DE-588)4461799-9 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Massenfertigung (DE-588)4037873-1 s Customization (DE-588)4461799-9 s Einflussgröße (DE-588)4209283-8 s DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015514947&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Kaplan, Andreas M. Factors influencing the adoption of mass customization determinats, moderating variables and cross-national generalizability Einflussgröße (DE-588)4209283-8 gnd Massenfertigung (DE-588)4037873-1 gnd Customization (DE-588)4461799-9 gnd |
| subject_GND | (DE-588)4209283-8 (DE-588)4037873-1 (DE-588)4461799-9 (DE-588)4113937-9 |
| title | Factors influencing the adoption of mass customization determinats, moderating variables and cross-national generalizability |
| title_auth | Factors influencing the adoption of mass customization determinats, moderating variables and cross-national generalizability |
| title_exact_search | Factors influencing the adoption of mass customization determinats, moderating variables and cross-national generalizability |
| title_exact_search_txtP | Factors influencing the adoption of mass customization determinats, moderating variables and cross-national generalizability |
| title_full | Factors influencing the adoption of mass customization determinats, moderating variables and cross-national generalizability Andreas M. Kaplan |
| title_fullStr | Factors influencing the adoption of mass customization determinats, moderating variables and cross-national generalizability Andreas M. Kaplan |
| title_full_unstemmed | Factors influencing the adoption of mass customization determinats, moderating variables and cross-national generalizability Andreas M. Kaplan |
| title_short | Factors influencing the adoption of mass customization |
| title_sort | factors influencing the adoption of mass customization determinats moderating variables and cross national generalizability |
| title_sub | determinats, moderating variables and cross-national generalizability |
| topic | Einflussgröße (DE-588)4209283-8 gnd Massenfertigung (DE-588)4037873-1 gnd Customization (DE-588)4461799-9 gnd |
| topic_facet | Einflussgröße Massenfertigung Customization Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015514947&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT kaplanandreasm factorsinfluencingtheadoptionofmasscustomizationdeterminatsmoderatingvariablesandcrossnationalgeneralizability |