scholarly journals Assessing the Antecedents and Consequence of Enterprise Transformation: A Quantitative Approach

2022 ◽  
Vol 12 ◽  
Author(s):  
Haiyan Song ◽  
Tanaporn Hongsuchon ◽  
Santhaya Kittikowit ◽  
Zhe Dong
Keyword(s):  
Real Estate ◽  
Technological Innovation ◽  
Structural Equation ◽  
Negative Impact ◽  
Market Competition ◽  
Group Analysis ◽  
Theoretical Models ◽  
Enterprise Management ◽  
Equation Modeling ◽  
Enterprise Transformation

With the negative impact of COVID-19, the continuous recession of economic globalization, and the increasing market competition, enterprise transformation gradually becomes the theme of enterprise management. Although more and more scholars and companies have paid attention to the importance of enterprise transformation, most of the research on it is still at the qualitative level of theoretical descriptions and lacks a comprehensive consideration and empirical research on its motivation and performance. In view of this, this study analyzes the overall driving effect of technological innovation and the internal and external environment on enterprise transformation from the perspective of its drivers and analyzes in depth its causes and consequences for different industries (construction and real estate industries). The study also analyzes the antecedents and consequences of enterprise transformation and its differences in different industries (construction and real estate). In this study, a sample of middle and senior management of 10 companies with a valid sample of 401 is collected. Structural equation modeling results indicate that competitive advantage, technological innovation, and market pressure significantly affect enterprise transformation, which is an antecedent of corporate performance. Further, the results of the multiple-group analysis also reveal some significant differences between the theoretical models of the construction and real estate communities. Finally, suggestions are made based on the findings.

Application of Structural Equation Model and AMOS Software

2014 ◽  
Vol 687-691 ◽  
pp. 1577-1579 ◽  
Author(s):  
Zhi Rong Wei
Keyword(s):  
Theoretical Model ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Applied Linguistics ◽  
Group Analysis ◽  
Theoretical Models ◽  
Equation Model ◽  
Equation Modeling ◽  
Software Analysis ◽  
Depth Analysis

The Amos 17 is the structural equation model (Structural Equation Modeling, SEM), which is one of the important software analysis. With the application of SEM technology in depth, analysis of multi group structural equation model (Multiple-Group Analysis) has gradually attracted researcher’s attention.. Stability of deep test theoretical model by examining the effect of its regulating variable, and the method is not only suitable for fitting degree test theoretical models in the regulation of variables of different level, but also for the fitting problem to test the tracking data and theoretical model. Through a case study of their own, using Amos 17 software as the basis introduces the basic principle of multi group structural equation model analysis technique and its use method in the study of Applied Linguistics to domestic applied linguistics intends to use the method which will provide examples of reference.

scholarly journals Intellectual Capital, Technological Innovation and Firm Performance: Evidence from China’s Manufacturing Sector

2019 ◽  
Vol 11 (19) ◽  
pp. 5328 ◽  
Author(s):  
Xu ◽  
Shang ◽  
Yu ◽  
Liu
Keyword(s):  
Firm Performance ◽  
Technological Innovation ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Negative Impact ◽  
Positive Impact ◽  
Manufacturing Sector ◽  
Negative Influence ◽  
Positive Influence ◽  
Equation Modeling

Intellectual capital (IC) is considered to be a main driver of organizational success in the knowledge economy. This study examines the impacts of three IC components, including human capital (HC), structural capital (SC), and relational capital (RC), on technological innovation and firm performance. Data are collected from 1112 manufacturing listed companies in China during 2013–17. Using partial least squares structural equation modeling (PLS-SEM), the results show that HC and SC exert a positive impact on firm performance while RC has a negative impact; SC has a positive influence on technological innovation while HC has a negative influence; technological innovation can enhance the firm’s performance. In addition, technological innovation partially mediates the relationship between SC and firm performance. This study will bridge the gap in research by investigating the impacts of IC components on technological innovation and firm performance in developing countries.

Counterproductive Work Behaviors, Confucian Values, and Production Deviance: the Mediating Effect of Job Satisfaction

2012 ◽  
Vol 40 (6) ◽  
pp. 1045-1056 ◽  
Author(s):  
Xiao-Wei Guo
Keyword(s):  
Job Satisfaction ◽  
Structural Equation ◽  
Negative Impact ◽  
Mediating Effect ◽  
Counterproductive Work Behaviors ◽  
Equation Modeling ◽  
Work Behaviors ◽  
Production Deviance ◽  
Confucian Values ◽  
The Relationship

Production deviance is 1 of 5 dimensions of counterproductive work behaviors (CWB). Based on data collected from 362 employees of Chinese enterprises, I examined the predictive effect of Confucian values on production deviance and the mediating effect of job satisfaction on the relationship between Confucian values and production deviance using structural equation modeling. I analyzed 3 factors of production deviance: work sabotage, slackness, and withdrawal. Confucian values were found to have a significant negative impact on these factors. Furthermore, job satisfaction was found to partially mediate the relationship between Confucian values slackness and withdrawal, but not work sabotage.

International Real Estate Review

2007 ◽  
Vol 10 (1) ◽  
pp. 1-25
Author(s):  
Elizabeth Hemphill ◽  
Keyword(s):  
Structural Equation Modeling ◽  
Real Estate ◽  
Structural Equation ◽  
Equation Modeling ◽  
Process Step ◽  
The Real ◽  
The Real Estate ◽  
Estate Property ◽  
Modeling Data

This paper explores agent sales presentations in the real estate property listing process using structural equation modeling. Data were collected from both vendors and agents to identify important agent attributes in both successful and unsuccessful presentation attempts. The research found that agents consider really hearing the vendor, getting along with the vendor and getting to know the vendor as key elements of a listing attempt, whilst vendors suggest the path to listing is through negotiation, that some level of negotiation must take place. Research should now examine the influence of time in this critical listing process step with reference to both agent and vendor perspectives using metrics other than perceptions of vendor satisfaction.

Turnover Intention Among the Navy People: The Role of Work Family Interference and Organizational Commitment

2021 ◽  
Vol 7 (2) ◽  
pp. 172
Author(s):  
Muhamad Zafran Whab ◽  
Raida Abu Bakar
Keyword(s):  
Organizational Commitment ◽  
Turnover Intention ◽  
Structural Equation ◽  
Negative Impact ◽  
High Capacity ◽  
Intention To Leave ◽  
Equation Modeling ◽  
Work Family ◽  
Navy Personnel

Human capital is a critical component of any organization's competitiveness. The absence of a high-capacity employee can have a negative impact on operational performance. The researcher examined the significance of organizational commitment as a mediator between work-family interference and turnover intention in the Royal Malaysian Navy. Data were collected from 400 navy personnel at the Lumut Naval Base in Perak, Malaysia, using structured questionnaires. Partial Least Squares-Structural Equation Modeling (PLS-SEM) was used to analyze the data. Organizational commitment serves as a mediator between work-family interference and turnover intention in the Royal Malaysian Navy. According to the findings of this study, organizational commitment mediated the relationship between work-family interference and turnover intention. Additionally, work-family interference is a significant predictor of intention to leave the RMN.

Salesperson grit: reducing unethical behavior and job stress

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Charles H. Schwepker ◽  
Megan C. Good
Keyword(s):  
Job Stress ◽  
Unethical Behavior ◽  
Structural Equation ◽  
Negative Impact ◽  
Equation Modeling ◽  
Screening Process ◽  
Content Type ◽  
Unethical Behaviors ◽  
Neutralization Techniques ◽  
Business To Business

Purpose The purpose of this paper is to investigate the relationships between grit, unethical behavior and job stress among business-to-business salespeople. Design/methodology/approach The empirical analysis includes 240 business-to-business salespeople. Structural equation modeling is used to test the study’s hypotheses. Findings Results suggest grit is directly related to less frequent unethical behavior and customer-directed deviance. Neutralization techniques positively moderate the relationship between salesperson grit and both unethical behavior and customer-directed deviance. Grit is indirectly related to job stress through the positive relationship between unethical behavior and job stress. Research limitations/implications Given research on grit in sales is relatively new several opportunities to pursue additional research in this area are presented. Practical implications Sales leaders may benefit from administering the salesperson grit scale as part of the screening process and developing grit among salespeople through training and coaching. Sales leaders should emphasize the negative impact of adopting neutralization techniques (excuses) in condoning unethical behaviors. The indirect effect of grit in reducing job stress through ethical behaviors underscores potential ways to mitigate costly and detrimental sales outcome losses. Originality/value This study develops a novel framework to explore the relationships between grit and unethical behaviors as moderated by neutralization techniques (excuses); examines an additional component of grit not previously considered in some studies of salespeople; and investigates whether these relationships increase a previously unexplored outcome – job stress.

Impact of Information Technology Risks on Information Systems Security: A Field Study of Telecommunication Companies in Yemen

2021 ◽  
Vol 27 (1) ◽  
pp. 125-157
Author(s):  
Mohammed A. Alrubaidi ◽  
Nabil Hassan Abdo Al-Hemyari
Keyword(s):  
Information Technology ◽  
Information Systems ◽  
Structural Equation ◽  
Negative Impact ◽  
Equation Modeling ◽  
Systems Security ◽  
Telecommunication Companies ◽  
Information And Communication ◽  
Study Population ◽  
The Impact

This study aimed to assess the impact of information technology risks on security of information systems by following an analytical method based on the structural equation modeling (SEM). The study population was seven telecommunication companies in Yemen. A questionnaire was distributed to 356 participants, but only 218 forms were valid for analysis. The data was analyzed by the partial least squares (PLS). The study findings revealed that information technology risks had a negative impact on the security of information systems. The study recommended that the security of information systems should be strengthened so as to maintain the confidentiality of information, its availability and safety from risks, and to cope with speedy developments in information and communication technology.

scholarly journals Applying the Theory of Planned Behavior to Examine Pro-Environmental Behavior: The Moderating Effect of COVID-19 Beliefs

2020 ◽  
Vol 12 (24) ◽  
pp. 10556
Author(s):  
Caterina Lucarelli ◽  
Camilla Mazzoli ◽  
Sabrina Severini
Keyword(s):  
Climate Change ◽  
Theory Of Planned Behavior ◽  
Least Squares ◽  
Partial Least Squares ◽  
Planned Behavior ◽  
Structural Equation ◽  
Environmental Behavior ◽  
Group Analysis ◽  
Policy Implications ◽  
Equation Modeling

The COVID-19 pandemic and climate change issues present evident interdependencies which justify the spread of connected beliefs. We examine possible changes in individuals’ pro-environmental behavior in light of this pandemic, using the Theory of Planned Behavior (TPB) framework. A questionnaire survey was submitted to the same sample of individuals, before and during the pandemic. Our evidence, based on Partial Least Squares Structural Equation Modeling (PLS-SEM), shows that the COVID-19 pandemic has not led to a weakening in TPB construct relationships, or in related Pro-Environmental Behavior (PEB). Conversely, through our Partial Least Squares-Multi-Group Analysis (PLS-MGA), we show that individuals with greater awareness of interdependencies between the COVID-19 and climate change exhibit both higher Intention and reinforced Pro-Environmental Behaviors. This finding reveals interesting policy implications in terms of innovative behavioral drivers that should be employed to steer public support towards climate-oriented initiatives.

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