Building Acquisition Management Capability to Improve Firm Performance in Acquisitions

2022 ◽  
Vol 13 (2) ◽  
pp. 0-0
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Structural Model ◽  
Sampling Strategy ◽  
Equation Modeling ◽  
Economic Market ◽  
Strategic Integration ◽  
Management Capability ◽  
Acquisition Management

In the past two decades, the number of cross-border mergers and acquisitions in ASEAN has progressively expanded as the region has become a desired economic market for trade and investment. Therefore, this study aimed to identify the factors contributing to the success of acquisitions by corporations. It investigates the role of acquisition management capability with strategic integration and acquisition. The non-probability sampling strategy was used to collect information from 51 firms. With a five-point Likert scale, a systematic questionnaire was designed to test the latent variables by employing confirmatory factor analysis. The quantitative method of Structural Equation Modeling was used in the analysis. The results show that the structural model had a Goodness of Fit Index value that indicates all three latent variables and independent variables were valid. The findings indicate that acquisition management capability have a central role in advancing the overall integration of the acquiring firm in the ASEAN context.

scholarly journals Presenting of Indifference Management Model of Education System in Ardabil Province Using Structural Equation Modeling

2016 ◽  
Vol 9 (11) ◽  
pp. 90
Author(s):  
Elham Abolfazli ◽  
Reza Yousefi Saidabadi ◽  
Vahid Fallah
Keyword(s):  
Organizational Climate ◽  
Education System ◽  
Latent Variables ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Structural Model ◽  
Simple Random Sampling ◽  
Equation Modeling ◽  
Great Ability ◽  
And Performance

<p class="apa">The purpose of the present study is to investigate indifference management structural model in education system of Ardabil Province. The research method was integration study using Alli modeling. Statistical society of research was 420 assistant professors of educational science, managers and deputies of Ardabil’ second period of high schools that 383 individuals were selected by simple random sampling. The data collection tool was researcher-made questionnaire. Face and content validity of the questionnaire was confirmed by experts and its Cronbach’s alpha coefficient was obtained as of 0/80. In order to investigate hypothesizes of research, obtained data were transferred to LISREL software to fit Alli model of structural equation and then were analyzed. The obtained findings of the statistical analysis showed that behavior and performance of manager indirectly has a meaningful impact on indifference management variable through employee’ empowerment variables, job satisfaction of employee, organization’s culture, organizational climate and employee’ perception of the organization. Goodness of fit index (GFI) 0/92 and root mean square of residuals latent variables model was RMSEA=0/045. Therefore, the model has a good fit and has a great ability to measure main variables of research.</p>

scholarly journals PEMODELAN STRUKTURAL DARI EMOSI POSITIF SEBAGAI PEMEDIASI TERHADAP PEMBELIAN TIDAK TERENCANA

2015 ◽  
Vol 4 (3) ◽  
pp. 104
Author(s):  
NI WAYAN ARNI YANITA ◽  
KETUT JAYANEGARA ◽  
I PUTU EKA N. KENCANA
Keyword(s):  
Structural Equation Modeling ◽  
Indirect Effect ◽  
Latent Variables ◽  
Structural Equation ◽  
Positive Emotions ◽  
Goodness Of Fit ◽  
Situational Factors ◽  
Equation Modeling ◽  
Impulse Buying ◽  
Mediation Models

Latent variables are variables that can not be observed directly. Latent variables can be observed with constituent indicators. One of the methods used to analyze the latent variables are Structural Equation Modeling (SEM). This research raised the case of impulse buying to be applied to the SEM method. Impulse buying influenced by the characteristics of the hypermarket, situational factors, the characteristics of the product, promotion and positive emotions. The purpose of this research was to determine the effect dari positive emotions as mediation to impulse buying.The results obtained indicate that positive emotions directly affect the impulse buying of 0.302, promotion directly affects the positive emotions of 0.367, and the promotion of indirect effect to impulse buying of 0.111. So positive emotions can mediate to impulse buying of 0.020. Goodness of fit mediation models not good with value 0.39.

scholarly journals Welfare and Wealth in Iran: Rural and Urban Dichotomies

2019 ◽  
Author(s):  
Sediqe Shafiei ◽  
Shahram Yazdani ◽  
A Hamid Zafarmand ◽  
Mohammad-Pooyan Jadidfard ◽  
sareh Shakerian
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Well Being ◽  
Equation Modeling ◽  
Comprehensive Model ◽  
Contributing Factors ◽  
Rural And Urban ◽  
Effective Policy ◽  
Relationship Of

Abstract Objective : Increasing social welfare and reducing poverty are to ensure the well-being of all classes of a society. Cities and villages are distinguished by cultural and economic disparities. The purpose of this study was to develop and present a comprehensive model on welfare and wealth components and their relationship with each other , as well as determining the contributing factors and variables affecting them by presenting a comprehensive model. Results : The Structural Equation Modeling ( SEM ) method was used to analyze the data and investigate the causal relationship of latent variables. Observed variables and latent variables of the model were analyzed and tested by using AMOS and SPSS (version 21) statistical methods, in two exploratory and confirmatory steps. Wealth and welfare were identified as two separate subjects in the conceptual model and in the final structural model for rural households. Unlike, in the urban community, they were recognized as a single category in the final structural model. The results of this study can provide the clear hints for effective policy making to break the cycle of deprivation and poverty in Iranian rural and urban population.

MODELING OF SEA SURFACE TEMPERATURE BASED ON PARTIAL LEAST SQUARE - STRUCTURAL EQUATION

2021 ◽  
Vol 14 (2) ◽  
pp. 170-182
Author(s):  
Miftahuddin Miftahuddin ◽  
Retno Wahyuni Putri ◽  
Ichsan Setiawan ◽  
Rina Suryani Oktari
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Structural Model ◽  
Partial Least Square ◽  
Least Square ◽  
Sea Surface ◽  
Equation Modeling

Variability of Sea Surface Temperature (SST) is one of the climatic features that influence global and regional climate dynamics. Missing data (gaps) in the SST dataset are worth investigating since they may statistically alter the value of the SST change. The partial least square-structural equation modeling (PLS-SEM) approach is used in this work to estimate the causality relationships between exogenous and endogenous latent variables. The findings of this study, which are significant indicators that have a loading factor value > 0.7 are as follows: i) sea surface temperature (oC) as a measure of the latent variable changes in SST, ii) wind speed (m/s) and relative humidity (%) as a measure of the latent variable of weather, and iii) air temperature (oC), long-wave solar radiation (w/m2) as a measure of climate latent variables. The size of the Rsquare value is influenced by the number of gaps. The results of the boostrapping show that the latent variables of weather and climate have a significant effect on changes in SST which are indicated by the value of tstatistics > ttabel. The structural model obtained Changes in SST (η) = -0.330 weather + 0.793 climate + ζ. The model shows that the weather has a negative coefficient, which means that the better the weather conditions, the lower the SST changes. Climate has a positive coefficient, which means that the better the climate, the SST changes will also increase. Rising sea surface temperatures caused by an increase in climate can lead to global warming, impacting El-Nino and La-Nina events.

scholarly journals Investigating the Critical Factors of Professionals’ BIM Adoption Behavior Based on the Theory of Planned Behavior

2021 ◽  
Vol 18 (6) ◽  
pp. 3022
Author(s):  
Zezhou Wu ◽  
Mingyang Jiang ◽  
Heng Li ◽  
Xiaochun Luo ◽  
Xiaoying Li
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Latent Variables ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Reliability And Validity ◽  
Information Modeling ◽  
Equation Modeling ◽  
Critical Factors ◽  
Building Information

In recent years, building information modeling (BIM) has been receiving growing interest from the construction industry of China. Nevertheless, although BIM has many foreseeable advantages, many studies claimed that these advantages have not been sufficiently achieved in practice at the current stage. In this circumstance, it is interesting to investigate what really drives the adoption of BIM. Based on Ajzen’s theory of planned behavior (TPB), a hypothetical model which involves nine latent variables is initially established. Then, a questionnaire is designed and distributed to the construction professionals in the Chinese context. After reliability and validity analysis, the goodness-of-fit of the initial model and the related theoretical assumptions are tested through structural equation modeling (SEM). Based on the modification indicators, a modified model is finally derived. Results show that economic viability and governmental supervision are the most critical factors that influence construction professionals’ BIM adoption behavior in China, sharing weights of 0.37 and 0.34, respectively, whereas other factors play limited roles in this regard. The research findings revealed from this study can provide insightful references for countries that intend to promote BIM adoption in a similar circumstance.

scholarly journals PENGARUH REPUTASI SEBAGAI VARIABEL INTERVENING TERHADAP KINERJA PERUSAHAAN PADA PT.TELKOM KEBUMEN

2018 ◽  
Vol 17 (1) ◽  
pp. 41-53
Author(s):  
Sri Wahyuningsih
Keyword(s):  
Corporate Governance ◽  
Business Ethics ◽  
Social Responsibility ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Structural Model ◽  
Well Being ◽  
Equation Modeling ◽  
Future Research ◽  
Telecommunication Service

The purpose of this study is to investigate the influence of social responsibility, etiuka relatives, on the reputation of corporate governance and its impact on the performance of the company PT. Telkom Indonesia Branch Kebumen. The analytical tool used Structural Equation Modeling (SEM). The results of this study show that the reputation of social responsibility affects the reputation accepted. This is indicated by the value of CR = 2.514 and p = 0.012 or significant at ½ α = 0.05 t table = ± 1.980. Thus, the social responsibility variables formed by indicators of ethical codes, economic well-being, contributions and participant experiences have a significant influence on reputation. Further business ethics affects the accepted reputation. This is indicated by the value of CR = 2.872 and p = 0.004 or significant at  ½ α = 0.05 t table = ± 1.980. Thus the business ethics variables formed by the indicators: Product quality, product trials, respect for human dignity, cultural integrity of the customer has an influence on reputation. Corporate governance affects acceptable reputation. This is indicated by the value of CR = 3.241 and p = 0.001 or significant at ½ α = 0.05 t table = ± 1.980. thus corporate governance variables formed by the indicators: Company competence, openness and transparency, policy implementation, corporate policy, confidence in top management, knowledge and ability of human resources. Reputation, effect on company performance accepted. This is indicated by the value of CR = 13.933 and p = 0,000 or significant at ½ α = 0.05 t table = ± 1.980. Thus the reputation variable formed by the Company's Vision indicators, the product offered, the emotional closeness of the customer to the company, the company's financial capability and confidence in the employee. The limitations of this study on the structural model used, this model has been well seen from the test of cofirmatory and goodness-of-fit. but it is better for the company's performance topics to dig deeper into the variables and indicators used. Future research may also consider research objects that will be used not only in telecommunication service companies but can be developed in other business organizations.   Key word: Reputation and Corporate Performance

scholarly journals ANALISIS STRUCTURAL EQUATION MODELING (SEM) DENGAN MULTIPLE GROUP MENGGUNAKAN R

2019 ◽  
Vol 19 (2) ◽  
pp. 85
Author(s):  
Holipah Holipah ◽  
I Made Tirta ◽  
Dian Anggraeni
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Multiple Group ◽  
Indicator Variables ◽  
Group 2 ◽  
Homogeneous Data ◽  
Group 1

Structural Equation Model (SEM) is a statistical technique with simultaneous processing involves measurement errors, indicator variables, and latent variables. SEM is used to test hypotheses that state the relationships between latent variables when latent variables have been assessed through each of the indicator variables. Multiple Group SEM is a basic model analysis that uses more than one sample. This analysis aims to determine whether the components or models of measurement and structural models are invariant for the two sample groups. In this study, the data generated by some requirements. First, the data generated with sample size n = 250. The first generated data is homogeneous data where the measurement model is the same as the structural model in group 1 and group 2, while the second data is non-homogeneous data where the measurement model and the structural model in group 1 and group 2 is not the same. The data was analyzed using the help of the lavaan package available in R to obtain SEM estimation results and Goodness of Fit Model from some data that was formed. From the results of the merger of the two groups, it shows that the invariant of the two models with the largest df (63) which is Fit Mean model states the simplest model. However, the smallest df (48) with Fit.configural model states the most complex model. Keywords: SEM, Multiple Group, R Program

Openness to participating in a victim-offender conference

2018 ◽  
Vol 29 (5) ◽  
pp. 659-682 ◽  
Author(s):  
Gregory Dennis Paul ◽  
William J. Schenck-Hamlin
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Design Research ◽  
Structural Model ◽  
Equation Modeling ◽  
Behavior Model ◽  
Willingness To Participate ◽  
Content Type

PurposeThis paper aims to use the theory of planned behavior to evaluate factors that influence openness to participating in a victim-offender conference (VOC).Design/methodology/approachConsistent with theory of planned behavior recommendations, the study uses a vignette-based design to assess participation openness as willingness to participate in a VOC if they were victims of a property crime. It evaluates the goodness of fit of a hypothesized structural model of participation openness to the data and the utility of a theory of planned behavior model as opposed to simply an outcome-driven model.FindingsFindings from a hierarchical linear regression illustrate that a theory of planned behavior model explains a greater percentage of participation willingness than does an outcome-driven model. Analysis using structural equation modeling suggests that participation openness is largely a function of subjective norms, anticipated affect and anticipated outcomes.Research limitations/implicationsLimitations spring largely from sampling method and research design. Research implications pertain to the utility of theory of planned behavior in expanding research of VOC participation openness to include not only outcomes but also relational and contextual factors.Practical implicationsThe manuscript identifies several implications for training facilitators, talking with prospective VOC participants and advocating for restorative justice programs.Originality/valueUse of the theory of planned behavior as a lens for understanding openness to VOC participation gives researchers and practitioners a wider and more nuanced understanding of why people would generally be willing to participate in a VOC if they were the victim of an offense.

A Structural Model Approach for Assessing Information Security Value in Organizations

2018 ◽  
Vol 9 (4) ◽  
pp. 47-69
Author(s):  
Daniel Schatz ◽  
Rabih Bashroush
Keyword(s):  
Information Security ◽  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Equation Modeling ◽  
Security Investment ◽  
Income Sources ◽  
Proposed Model ◽  
Security Value ◽  
Information Security Investment

Data is rapidly becoming one of the most important assets in global markets, and criminals are spotting opportunities to exploit new potential income sources. In response to this, organizations are dedicating increasing resources to information security programs. However, faced with unrelenting breach reports and rising costs, decision makers inevitably wonder which type of security investment is economically viable. In this article, the authors present an empirically tested model describing the underlying key constructs for assessing information security value in an organization. Based on identified latent variables previously put forward in the literature, the authors use a partial least squares structural equation modeling approach to verify the model's soundness. They identify five crucial variables for value-focused information security investment. The relationships among these latent variables are then investigated and contributions of the structural model assessed. The key findings are finally presented to highlight opportunities for security practitioners to apply the proposed model.

scholarly journals Impact of Working Environment on Job Satisfaction: Findings from a Survey of Japanese Dental Hygienists

2021 ◽  
Vol 18 (6) ◽  
pp. 3200
Author(s):  
Ayako Okada ◽  
Yuki Ohara ◽  
Yuko Yamamoto ◽  
Yoshiaki Nomura ◽  
Noriyasu Hosoya ◽  
...  
Keyword(s):  
Job Satisfaction ◽  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Working Environment ◽  
Equation Modeling ◽  
Job Retention ◽  
Dental Hygienists ◽  
Working Environments ◽  
High Level

In Japan, there is currently a shortage of dental hygienists. The number of dental hygienists as a workforce at dental clinical practice is not sufficient. Several factors affect career retention and job satisfaction of hygienists and these factors are considered to correlate with each other to construct networks. The aim of this study was to present a structural model of job satisfaction of Japanese dental hygienists and to determine the characteristics of unmotivated hygienists. The Japan Dental Hygienists’ Association has conducted a survey on their working environments every five years since 1981. Questionnaires were sent to all members of the association (16,113) and 8932 answers were returned. The data of 3807 active dental hygienists who worked at clinics were analyzed. Items associated with job satisfaction were derived from two latent variables, namely, the intrinsic psychosocial factors for the value of the work and extrinsic employment advantage. Based on the structural equation modeling, the association of value was higher than that of advantage. Most of the hygienists wished to continue working as dental hygienists. More than 60% felt their work required a high level of expertise. The value of the profession is deeply rooted in job satisfaction, motivation, and job retention of Japanese dental hygienists. Working environments where dental hygienists make great use of their specialized skills can lead to high career retention which prevent them from taking career breaks.

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