Aplikasi Structural Equation Modelling Dalam Perencanaan Strategi Pemasaran Berbasis Kepemimpinan Dan Budaya Organisasi (Studi Kasus UKM Batik Tradisional)

Persaingan USAha pada kelompok UKM Batik tradisional semakin lama semakin ketat. Hal ini menuntut Perusahaan untuk merancang strategi bersaing yang sesuai dengan kemampuan internal Perusahaan dan tuntutan eksternal lingkungan persaingan. Salah satu aktivitas penting dalam menjabarkan strategi bersaing kedalam strategi fungsional pemasaran adalah dengan mengembangkan budaya unggul pada semua entitas organisasi USAha tersebut. Budaya dan gaya kepemimpinan pemilik Perusahaan akan mempengaruhi pilihan UKM Batik tersebut dalam strategi bersaingnya, khususnya strategi pemasaran produk mereka. Penelitian ini menggunakan metode Structural Equation Modelling (SEM) yang akan digunakan untuk memeriksa validitas dari faktor-faktor konfirmatori yang berupa variabel-variabel pembentuk gaya kepemimpinan seperti kharisma, inspirasi, stimulus intelektual, dan perhatian individual serta faktor-faktor budaya organisasi seperti simbol material, perilaku, linguistik, dan individu. SEM juga digunakan untuk menguji model berkaitan dengan hubungan antar variabel laten yang sesuai analisis path, serta mendapat model terstruktur yang bermanfaat untuk memperkirakan strategi pemasaran yang sesuai. Dari variabel-variabel pembentuk gaya kepemimpinan, maka faktor stimulus intelektual (=0,37) memiliki pengaruh yang sangat dominan terhadap strategi pemasaran. Dari sisi faktor-faktor budaya organisasi, maka faktor simbol perilaku (=0,69) memiliki peran dominan. Berdasarkan hasil analisis SWOT dengan IFAS = 1,4 dan EFAS = 0,75, maka grand strategi agresif dirasa tepat diaplikasikan. Beberapa strategi yang direkomendasikan adalah penetrasi pasar, pengembangan pasar, pengembangan produk, integrasi dan diversifikasi produk

Aplikasi Structural Equation Modelling Dalam Segmentasi Pelanggan

Persaingan yang ketat dalam industri jasa telekomunikasi mendorong Perusahaan untuk menerapkan strategi yang mampu untuk menjaga eksistensi Perusahaan tersebut di dalam persaingan. Salah satu tindakan strategis yang dapat dilakukan oleh Perusahaan adalah mengadakan suatu pendekatan yang lebih terperinci terhadap konsumen dengan mengidentifikasi profil segmen (pelanggan). Proses identifikasi profil segmen pasar dilakukan dengan berfokus kepada tingkah laku konsumen di dalam pasar. Pemodelan SEM merupakan suatu metode statistika yang menggunakan pendekatan hipotesis testing atau dikenal dengan istilah konfirmatori. SEM akan menganalisa hubungan antara variabel pascabayar terhadap perilaku komunikasi. Dari hasil pemodelan ini, akan ditemukan nilai hubungan antara kedua variabel tersebut. Hasil penelitioan dapat disimpulkAN bahwa variabel pascabayar sangat mempengaruhi perilaku berkomunikasi dengan nilai 0.60. Terdapat 3 jenis profil segmen dengan karakteristik perilaku segmen sebagai berikut , yaitu: Segmen 1, Menyukai media elektronik dengan informasi yang menarik perhatiannya adalah iklan, cenderung akan beralih kartu jika terdapat produk lain yang lebihmenguntungkan. Segmen 2, Sangat menyukai media cetak dengan informasi yang menarik perhatiannya adalah klan dan promosi penjualan, cenderung tidak akan beralih kartu walaupun terdapat produk lain yang menguntungkan.. Segmen 3, Menyukai media elektronik dengan informasi iklan dan promosi penjualan, tidak akan beralih kartu meskipun ada yang lebih menguntungkan (paling setia)

A framework for power analysis using a structural equation modelling procedure

BACKGROUND: This paper demonstrates how structural equation modelling (SEM) can be used as a tool to aid in carrying out power analyses. For many complex multivariate designs that are increasingly being employed, power analyses can be difficult to carry out, because the software available lacks sufficient flexibility. Satorra and Saris developed a method for estimating the power of the likelihood ratio test for structural equation models. Whilst the Satorra and Saris approach is familiar to researchers who use the structural equation modelling approach, it is less well known amongst other researchers. The SEM approach can be equivalent to other multivariate statistical tests, and therefore the Satorra and Saris approach to power analysis can be used. METHODS: The covariance matrix, along with a vector of means, relating to the alternative hypothesis is generated. This represents the hypothesised population effects. A model (representing the null hypothesis) is then tested in a structural equation model, using the population parameters as input. An analysis based on the chi-square of this model can provide estimates of the sample size required for different levels of power to reject the null hypothesis. CONCLUSIONS: The SEM based power analysis approach may prove useful for researchers designing research in the health and medical spheres

"SATISFACTION AND E-QUALITY: SOME EVIDENCE FROM INTERNET BANKING"

The perceived quality has been described as a major determinant of the consumer satisfaction. We have integrated the perceived utility construct from Technology Acceptance Models (TAM) with perceived quality from SERVQUAL literature to describe perceived quality in eBank context. A specific scale has been developed and applied to an online survey at a major Portuguese eBank. 754 valid observations had been collected and structural equation modelling methodology was used. Perceived quality has been formalized as a second order construct and the results shows that it is manifested on products and services, convenience and trust in the information.eBank, private consumer behaviour, satisfaction, perceived quality, structural equation modelling.

Component-based structural equation modelling

In this research, the authors explore the use of ULS-SEM (Structural-Equation-Modelling), PLS (Partial Least Squares), GSCA (Generalized Structured Component Analysis), path analysis on block principal components and path analysis on block scales on customer satisfaction data.Component-based SEM; covariance-based SEM; GSCA; path analysis; PLS path modelling; Structural Equation Modelling; Unweighted Least Squares

How do Institutions Affect Corruption and the Shadow Economy?

This paper analyzes a simple model that captures the relationship between institutional quality, the shadow economy and corruption. It shows that an improvement in institutional quality reduces the shadow economy and affects the corruption market. The exact relationship between corruption and institutional quality is, however, ambiguous and depends on the relative effectiveness of the institutional quality in the shadow and corruption markets. The predictions of the model are empirically tested - by means of Structural Equation Modelling that treats the shadow economy and the corruption market as latent variables - using data from OECD countries. The results show that an improvement in institutional quality reduces the shadow economy directly and corruption both directly and indirectly (through its effect on the shadow market).Corruption, Shadow Economies, OECD countries, Latent Variables, Structural Equation Modelling

Testing a model of antecedents and consequences of defensive pessimism and self-handicapping in school physical education

There has been very limited research on the use of self-worth protection strategies in the achievement context of school physical education (PE). Thus, this study aimed to examine some antecedents and consequences of defensive pessimism and self-handicapping. The sample comprised 534 (females n = 275; males n = 259) British pupils recruited from two schools who responded to established questionnaires. Results of structural equation modelling analysis indicated that self-handicapping and defensive pessimism were positively predicted by fear of failure and negatively predicted by competence valuation. In addition, defensive pessimism was negatively predicted by physical self-concept. In turn, defensive pessimism negatively predicted enjoyment in PE and intentions to participate in future optional PE programs. Self-handicapping did not predict enjoyment or intentions. Results from multi-sample structural equation modelling showed the specified model to be largely invariant across males and females. The findings indicate that although both strategies aim to protect one’s self-worth, some of their antecedents and consequences in PE may differ

Asymmetric monetary policy effects in EMU

This paper uses a semi-structural dynamic modelling approach to investigate asymmetric monetary transmission in Europe. A system of equations containing reaction functions for monetary policy, output and inflation equations is simultaneously estimated for France, Germany, and Italy. Extensive cross equation tests show that relatively large differences in simulated impulse responses are still consistent with the notion that the transmission mechanism is homogeneous across the three major EMU countries. However, monetary policy impulses show a relatively stronger effect on the output gap in Italy and Germany. Out-of-sample tests do not find a structural break in the transmission mechanisms prior to EMU. --European Monetary Union,Monetary Policy,Semi-structural modelling