1. Ringkasan Data to model the prognosticators of luxury consumption: A partial least squares-structural equation modelling approach (PLS-SEM)
Prognosticate: meramalkan
Data to model the prognosticators of luxury consumption: A partial least squares-structural equation modelling approach (PLS-SEM)
"Data untuk memodelkan peramalan konsumsi mewah: Pendekatan pemodelan persamaan struktural terkecil kuadrat (PLS-SEM)"
Eugine Tafadzwa MaziririNkosiville Welcome Madinga
Abstrak
Data to model the prognosticators of luxury consumption: A partial least squares-structural equation modelling approach (PLS-SEM)
"Data untuk memodelkan peramalan konsumsi mewah: Pendekatan pemodelan persamaan struktural terkecil kuadrat (PLS-SEM)"
Eugine Tafadzwa MaziririNkosiville Welcome Madinga
University of the Witwatersrand, South AfricabUniversity of Cape Town, South Africa
Data in Brief 21 (2018) 753–757
https://doi.org/10.1016/j.dib.2018.10.032
Abstrak
Artikel ini menyajikan data statistik inferensial mentah yang menentukan dampak eksklusivitas, materialisme, persepsi kualitas, dan kesadaran merek terhadap konsumsi mewah.
Data dikumpulkan dari konsumen di wilayah metropolitan Cape Town.
Metode penelitian aquantitatif digunakan untuk menganalisis data. Kuesioner terstruktur dibagikan kepada konsumen di daerah metropolitan Cape Town, Afrika Selatan. Keandalan (Realibility) dan validitas (Validity) dikonfirmasi. Pemodelan persamaan struktural ((Structural equation modelling ) SEM) menggunakan perangkat lunak Smart PLS, versi 3, digunakan untuk menyajikan data. Analisis jalur SEM (The SEM path analysis) menunjukkan perkiraan keterkaitan konstruksi utama dalam data.
Hasil yang diperoleh dari dataset ini menunjukkan hubungan antara eksklusivitas, persepsi kualitas, dan kesadaran merek memiliki dampak positif dan signifikan terhadap konsumsi mewah. Namun, pasangan-rialisme terbukti memiliki pengaruh negatif dan tidak signifikan terhadap konsumsi cairan.
1. Data
The data contained 157 usable copies of questionnaires retrieved from 170 copies administered toconsumers in Cape Town, South Africa; hence, representing a response rate of 92%.
2. Experimental design, materials, and methods
The data presented was based on a quantitative study. A descriptive research design was adoptedin this study to obtain the opinions of customers concerning the prognosticators of luxury consumption.
2.1. Assessment of the goodness offit (GOF)
Overall,R2inFig. 1indicates that the research model explains 74.3% of the variance in luxuryconsumption. The following formula, provided by Tenenhaus et al.[5], the global goodness-of-fit(GoF) statistic for the research model was calculated using the equation:
where AVE represents the average of all AVE values (rata-rata semua nilai AVE) for the research variables whileR2 represents the average of all R2 values in the full path model. The calculated global GoF is 0.43, which exceeds the suggested (melebihi yang disarankan) threshold of GoF 0.36 suggested by Wetzels et al.[6] (M. Wetzels, G. Odekerken-Schröder, C. Van Oppen, Using PLS path modeling for assessing hierarchical construct models:guidelines and empirical illustration, MIS Q. (2009) 177–195.) . Therefore, this data article concludes that the research model has a good overall fit.
2.2. Path model
The PLS estimation results for the structural model, path coefficients values as well as the item loadings for the research constructs are shown inFig. 1(Table 2).
The primary source of data (questionnaire) was used for collecting data from a cross section ofcustomers within (dalam) the Cape Town metropolitan area. A Microsoft Excel spread sheet was used to enterall the data and to make inferences of the data obtained. The Statistical Packages for Social Sciences(SPSS) and the Smart PLS software for structural equation modelling (SEM) technique were used tocode data and to run the statistical analysis[2]. Moreover, Smart PLS supports both exploratory andconfirmatory research; it is robust to deviations for multivariate normal distributions and is good for asmall sample size[2](R. Chinomona, E.T. Maziriri, The influence of brand awareness, brand association and product quality on brand loyalty andrepurchase intention: a case of male consumers for cosmetic brands in South Africa, J. Bus. Retail Manag. Res. 12 (1) (2017)143–154.) .
3. Ethical considerations
The researchers guaranteed that respondents were knowledgeable about the background and the aim of this research and they were kept well-informed with the participation process. Respondents were offered the chance to remain anonymous and their reactions were dealt with in confidence.Fig. 1.Measurement and structural model results.
4. Academic, practical, and policy implications of this data article
The present data article offers implications for academicians. For instance (misalnya), the data indicates that brand consciousness directly (kesadaran merek itu secara langsung) influences luxury consumption in a positive and significant way as indicated by a path (oleh sebuah jalan) coefficient of (β=0.455). Therefore (Oleh karena itu), for academicians in the field of marketing, this discovery (penemuan ini) enhances (meningkatkan) their understanding of the relationship between brand consciousness and luxury consumption as this is a useful contribution to (karena ini kontribusi yang bermanfaat untuk) the existing (yang ada) literature on these two variables.
On the practitioners’side, this data article submits that marketing managers can benefit from the implications of these discoveries. For example, given the robust relationship between exclusivity and luxury consumption (β=0.585), marketing managers ought to pay attention (manajer pemasaran harus memperhatikan) or they should put more emphasis (mereka harus lebih menekankan) on product innovation as well as selling unique products since exclusivity acts as a facilitator of luxury consumption. Moreover (bahkan), the present data article offers implications for policy makers (artikel data ini menawarkan implikasi bagi pembuat kebijakan) who have been developing (yang telah berkembang)consumer business policies that enhance luxury consumption. Policies that exist in various retail institutions (berbagai institusi ritel) can be modified to incorporate (untuk memasukkan) luxury consumption. Thus (jadi), the discoveries obtained (penemuan itu didapat) from this study's data set may be used to(dapat digunakan untuk) generate(menghasilkan) new policies and assist (membantu) in the revision (revisi) of existing policies.
2.2. Path model
The PLS estimation results for the structural model, path coefficients values as well as the item loadings for the research constructs are shown inFig. 1(Table 2).
The primary source of data (questionnaire) was used for collecting data from a cross section ofcustomers within (dalam) the Cape Town metropolitan area. A Microsoft Excel spread sheet was used to enterall the data and to make inferences of the data obtained. The Statistical Packages for Social Sciences(SPSS) and the Smart PLS software for structural equation modelling (SEM) technique were used tocode data and to run the statistical analysis[2]. Moreover, Smart PLS supports both exploratory andconfirmatory research; it is robust to deviations for multivariate normal distributions and is good for asmall sample size[2](R. Chinomona, E.T. Maziriri, The influence of brand awareness, brand association and product quality on brand loyalty andrepurchase intention: a case of male consumers for cosmetic brands in South Africa, J. Bus. Retail Manag. Res. 12 (1) (2017)143–154.) .
3. Ethical considerations
The researchers guaranteed that respondents were knowledgeable about the background and the aim of this research and they were kept well-informed with the participation process. Respondents were offered the chance to remain anonymous and their reactions were dealt with in confidence.Fig. 1.Measurement and structural model results.
4. Academic, practical, and policy implications of this data article
The present data article offers implications for academicians. For instance (misalnya), the data indicates that brand consciousness directly (kesadaran merek itu secara langsung) influences luxury consumption in a positive and significant way as indicated by a path (oleh sebuah jalan) coefficient of (β=0.455). Therefore (Oleh karena itu), for academicians in the field of marketing, this discovery (penemuan ini) enhances (meningkatkan) their understanding of the relationship between brand consciousness and luxury consumption as this is a useful contribution to (karena ini kontribusi yang bermanfaat untuk) the existing (yang ada) literature on these two variables.
On the practitioners’side, this data article submits that marketing managers can benefit from the implications of these discoveries. For example, given the robust relationship between exclusivity and luxury consumption (β=0.585), marketing managers ought to pay attention (manajer pemasaran harus memperhatikan) or they should put more emphasis (mereka harus lebih menekankan) on product innovation as well as selling unique products since exclusivity acts as a facilitator of luxury consumption. Moreover (bahkan), the present data article offers implications for policy makers (artikel data ini menawarkan implikasi bagi pembuat kebijakan) who have been developing (yang telah berkembang)consumer business policies that enhance luxury consumption. Policies that exist in various retail institutions (berbagai institusi ritel) can be modified to incorporate (untuk memasukkan) luxury consumption. Thus (jadi), the discoveries obtained (penemuan itu didapat) from this study's data set may be used to(dapat digunakan untuk) generate(menghasilkan) new policies and assist (membantu) in the revision (revisi) of existing policies.
Comments
Post a Comment