scholarly journals Evaluating Technological Innovation of Media Companies from the Perspective of Technological Ecosystem

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Kui Yi ◽  
Ligang Zhang ◽  
Xiulan Mao ◽  
Yi Li ◽  
Jiaxuan Bao
Keyword(s):  
Structural Equation ◽  
Analytic Network Process ◽  
Equation Modeling ◽  
Innovative Technology ◽  
Research Review ◽  
Evaluation Systems ◽  
Media Companies ◽  
Network Process ◽  
Complete Set ◽  
Selection Factor

The evaluating indicators on the benefits of innovative technology to media companies are preliminarily analyzed and evaluated, according to the research review and evaluating criteria of self-organization and ecosystem selection. Factor analysis and structural equation modeling are used to further explore and select the indicators. According to the results, from the perspective of technology ecosystem, innovative technology performance of media companies can be measured through a two-factor structure—the input of innovative technology and its output. On this basis, ANP (analytic network process) is used to establish a weighted evaluation of indicators. At the end of the paper, a complete set of evaluation systems was created to measure the performance of technology innovation.

scholarly journals INTEGRASI PENDEKATAN ANALYTIC NETWORK PROCESS DAN STRUCTURAL EQUATION MODELING UNTUK PENGUKURAN BULLYING DI TEMPAT KERJA BERBASIS GENDER MENGGUNAKAN SISTEM PAKAR

2019 ◽  
Vol 4 (2) ◽  
pp. 99-108
Author(s):  
Ira Puspita Sari ◽  
Anip Febtriko ◽  
Tri Rahayuningsih ◽  
Adrian Adi Putra
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Analytic Network Process ◽  
Equation Modeling ◽  
Network Process

Intimidasi atau yang dikenal dengan istilah bullying, dalam penelitian di tempat kerja menghasilkan dampak kesehatan mental yang merugikan. Namun, sedikit yang mengungkap perbedaan jenis kelamin yang menghubungkan perilaku bullying di tempat kerja dan kesehatan mental yang buruk. Salah satunya, temuan tentang perempuan suku Afrika-Amerika yang kurang mendapat perlindungan bullying di tempat kerja melalui dukungan sosial rekan kerja. Individu muda, bercerai, anggota fakultas, dan memiliki penyakit kronis ditemukan memiliki skor persepsi bullying di tempat kerja yang tinggi dan berdampak pada meningkatnya kecemasan, depresi, citra diri negatif, serta rasa permusuhan. Penindasan di dunia maya atau cyberbullying di tempat kerja pun ditemukan sebagai fenomena yang berkembang dengan akibat fatal, mulai dari menimbulkan ketegangan mental karyawan dan kepuasan kerja yang rendah, hingga iklim organisasi yang bermusuhan. Pelaku cyberbullying di tempat kerja ini membenarkan perilaku bullying mereka dan hasil fitur komunikasi cyber ternyata mempengaruhi perilaku cyberbullying di tempat kerja.

Modeling brand resonance score (BRS) – an application in financial services

2018 ◽  
Vol 13 (1) ◽  
pp. 119-136 ◽  
Author(s):  
Ande Raja Ambedkar ◽  
Punniyamoorthy Murugesan ◽  
N. Thamaraiselvan
Keyword(s):  
Mutual Fund ◽  
Financial Services ◽  
Structural Equation ◽  
Analytic Network Process ◽  
Equation Modeling ◽  
Service Firms ◽  
Content Type ◽  
Fund Managers ◽  
Network Process ◽  
Brand Resonance

Purpose The experts in industry and academicians value brand resonance is the prerequisite factor in the firms of financial services. In this regard, the purpose of this paper is to model the brand resonance score (BRS) for modified customer-based brand equity (CBBE) model in mutual fund financial services using structural equation modeling (SEM) and analytic network process (ANP). Design/methodology/approach Criteria and sub-criteria relative weights are calculated from the SEM and sub-sub-criteria relative weights are measured through pair-wise comparison matrix for BRS modeling using ANP approach. Findings The brand resonance using ANP has been quantified, and BRSs of each brand through brand judgments and brand feelings criteria are calculated using two renowned Indian mutual fund services brands State Bank of India and Hong Kong and Shanghai Banking Corporation. Research limitations/implications Interdependency between sub-criteria are not explored. This research study is specific to Indian bank mutual fund services context. Practical implications Research findings provide useful guidelines for fund managers/analysts of mutual fund service firms to improve the brand resonance to investors. Originality/value The paper explained modeling BRS using ANP technique which helps organizations quantify the brand resonance effectively.

Evaluation of information service in smart scenic area based on “SEM-ANP” synthetic evaluation mode

2021 ◽  
pp. 1-13
Author(s):  
Kui Yi ◽  
Xiulan Mao ◽  
Honglei Cheng ◽  
Ligang Zhang ◽  
Dian Zhang
Keyword(s):  
Structural Equation ◽  
Information Service ◽  
Analytic Network Process ◽  
Tourism Industry ◽  
Equation Modeling ◽  
Jiangxi Province ◽  
Fuzzy Evaluation ◽  
Network Process ◽  
Tourism Service ◽  
Smart Tourism

Evaluating the capability of smart information service and exploring the smart information service elements in scenic areas can accelerate the smart tourism industry progress to a highly effective administrative and high quality of smart tourism service. This study aims to exploring the connections of a variety of smart information service elements in scenic areas, analyzing and evaluating the capability of smart information service, mapping a positive resolution to improve the capability of information service in scenic spots. Based on a synthetic method that combining Structural Equation Modeling (SEM) and Analytic Network Process (ANP), explicitly using the SEM to extracting the key factors and mapping each factors’ co-relations, and in further step, using the ANP to carry a fuzzy evaluation of weighing the information service capability and each element in the case of Jiangxi Province in China, the result shows that the method of “SEM-ANP” is better fit than single ”SEM” or ”ANP”, the evaluating system for smart information service in scenic areas is significantly innovative and scientific to supply effective suggestions for policy makers.

Exploring Antecedents to Financial Management Behavior for Young Adults

2019 ◽  
Vol 30 (1) ◽  
pp. 44-55 ◽  
Author(s):  
Dhannajay Bapat
Keyword(s):  
Young Adults ◽  
Financial Management ◽  
Help Seeking ◽  
Structural Equation ◽  
Financial Knowledge ◽  
Equation Modeling ◽  
Innovative Technology ◽  
Electronic Banking ◽  
Management Behavior ◽  
Seeking Behavior

In terms of future revenue stream, the potential of young adults is considered to be significant. The study is relevant to India as the segment dominates the population. The objective of the study is to examine the antecedents to financial management behavior for young adults. One hundred and sixty responses were obtained from respondents. While employing structural equation modeling, we found that variables such as help-seeking behavior, financial knowledge, and electronic banking, positively affect financial management behavior. The findings suggest that financial educators and counselors need to incorporate electronic banking along with other dimensions such as financial knowledge and help-seekers. Financial educators can benefit from innovative technology features.

Performance evaluation under human capital perspective: an empirical evidence

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sujata Priyambada Dash ◽  
Supriyo Roy
Keyword(s):  
Human Capital ◽  
Organizational Performance ◽  
Structural Equation ◽  
Strategic Human Resource Management ◽  
Equation Modeling ◽  
Content Type ◽  
Complete Study ◽  
Private And Public ◽  
Psychological Mechanism ◽  
Complete Set

PurposeThe study investigates the effect of human capital (HC) on organizational performance (OP) of potential employees. Further, an attempt has been made to develop the fundamental psychological mechanism of the aforementioned relationship by proposing retention (RE) as mediator.Design/methodology/approachFor this study, the required population on both private and public sector professionals of middle and senior-level management from service and manufacturing organizations functioning in various parts of India has been considered. For data collection, a complete set of questionnaires has been prepared and collected from 238 professionals. To study and test the hypotheses, structural equation modeling has also been used.Findingsa complete study on the data collected, it has been found that HC is significantly related with OP of the prospective professionals and RE has subsequently mediated the aforementioned linkage partially.Practical implicationsThe present study can suggest practically that the appropriate RE strategies retain HC with their respective organizations and provides in finding the evidence on the psychological processes during the employer procurement process.Originality/valuepaper bridges the disciplines of strategic human resource management and human capital management and brings in RE as an additional mediator into organizational performance.

scholarly journals A Combination of DEMATEL and BWM-Based ANP Methods for Exploring the Green Building Rating System in Taiwan

2020 ◽  
Vol 12 (8) ◽  
pp. 3216 ◽  
Author(s):  
Perry C. Y. Liu ◽  
Huai-Wei Lo ◽  
James J. H. Liou
Keyword(s):  
Evaluation System ◽  
Green Building ◽  
Analytic Network Process ◽  
Two Dimensions ◽  
Model Management ◽  
Evaluation Systems ◽  
Proposed Model ◽  
Network Process ◽  
Human Habitation ◽  
Relationship Of

Green buildings are a crucial environmentally friendly component for sustainable human habitation and for the preservation of a healthy ecosystem. This study proposes a novel hybrid model to explore the influential relationship of various indicators and their importance for a green building evaluation system. First, a green building index system is established based on a review of recent literature on green building evaluation systems. Then, the decision making trial and evaluation laboratory (DEMATEL) technique is utilized to determine the influential relationship among the criteria. Finally, a novel best worst method (BWM)-based analytic network process (ANP) model is applied to determine the influential weight of the criteria. The result indicated that the top five ranked criteria are all classified within the two dimensions of waste reduction and energy saving. An empirical case study of an example in Taiwan is carried out to demonstrate the effectiveness of the proposed model. Management implications are also provided.

scholarly journals The Prospects of Policies Integration on Zakat and Tax in Indonesia to Overcome the Economics Problem due to the COVID-19 Pandemic

2020 ◽  
pp. 397-408
Author(s):  
Any Setianingrum ◽  
Nurul Huda ◽  
Perdana Wahyu Santosa
Keyword(s):  
Low Income ◽  
Structural Equation ◽  
Aggregate Demand ◽  
Analytic Network Process ◽  
Equation Model ◽  
Tax Credits ◽  
Demand And Supply ◽  
Network Process ◽  
Technology Services ◽  
The Government

Previous research, regarding the prospect of zakat policy as a tax credit, was conducted using the Analytic Network Process (ANP) method, using expert respondents. To obtain findings from respondents with different backgrounds, to make it more comprehensive, this research was continued by using the SEM (Structural Equation Model) method, by filling in a questionnaire, as many as 235 respondents from all over Indonesia were random. The research objective is to determine the variables that affect the preferences and participation of muzaki and taxpayers, willing to pay taxes and zakat, increase public finances, which can be used as a solution to the sharp decline in aggregate economic supply and expenditure in Indonesia, due to the COVID-19 pandemic. The results showed that the regulatory variables, zakat incentives as tax credits, technology-based services, socialization and promotion have a significant effect on the preferences of muzaki and taxpayers. Meanwhile, regulatory variables, zakat incentives as tax credits, socialization and promotion have a significant effect on muzaki and taxpayer participation. Meanwhile, technology services and preferences in this study do not have a significant effect on the participation of muzaki and taxpayers. When all sectors of the commercial economy experience a decline or stagnate, the government must be able to move the philanthropic sector, so that the economy continues to run, aggregate demand and supply continues to run, and people's purchasing power is maintained, especially for low-income people.

scholarly journals Prospects of Zakat as Tax Credit in a New Normal COVID-19 Period

2021 ◽  
Vol 6 (1) ◽  
pp. 25-38
Author(s):  
Any Setianingrum ◽  
Nurul Huda ◽  
Perdana Wahyu Santosa
Keyword(s):  
Low Income ◽  
Structural Equation ◽  
Aggregate Demand ◽  
Analytic Network Process ◽  
Equation Model ◽  
Tax Credits ◽  
Tax Credit ◽  
Network Process ◽  
Technology Services ◽  
The Government

Previous research, regarding the prospect of zakat policy as a tax credit, was conducted using the Analytic Network Process (ANP) method, using expert respondents. To obtain findings from respondents with different backgrounds, to make it more comprehensive, this research was continued by using the SEM (Structural Equation Model) method, by filling in a questionnaire, as many as 235 respondents from all over Indonesia were random. The research objective is to determine the variables that affect the preferences and participation of muzaki and taxpayers, willing to pay taxes and zakat, increase public finances, which can be used as a solution to the sharp decline in aggregate economic supply and expenditure in Indonesia, due to the COVID-19 pandemic. The results showed that the regulatory variables, zakat incentives as tax credits, technology-based services, socialization and promotion have a significant effect on the preferences of muzaki and taxpayers. Meanwhile, regulatory variables, zakat incentives as tax credits, socialization and promotion have a significant effect on muzaki and taxpayer participation. Meanwhile, technology services and preferences in this study do not have a significant effect on the participation of muzaki and taxpayers. When all sectors of the commercial economy experience a decline or stagnate, the government must be able to move the philanthropic sector, so that the economy continues to run, aggregate demand and supply continues to run, and people's purchasing power is maintained, especially for low-income people.

scholarly journals Predicting Sustainable Farm Performance—Using Hybrid Structural Equation Modelling with an Artificial Neural Network Approach

Land ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 289
Author(s):  
Naeem Hayat ◽  
Abdullah Al Mamun ◽  
Noorul Azwin Md Nasir ◽  
Ganeshsree Selvachandran ◽  
Noorshella Binti Che Nawi ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Structural Equation ◽  
Equation Modeling ◽  
Innovative Technology ◽  
Intention To Adopt ◽  
Actual Use ◽  
Artificial Neural ◽  
Farm Performance ◽  
Facilitating Conditions

The adoption of innovative technology has always been a complex issue. The agriculture sectors of developing countries are following unsustainable farming policies. The currently adopted intensive farming practices need to replace with conservative agriculture practices (CAPs). However, the adoption of CAPs has remained low since its emergence and reports have suggested that the use of CAPs is scant for sustainable farm performance. This article aims to study three scenarios: Firstly, the influence of personal and CAPs level factors on the intention to adopt CAPs; secondly, the influence intention to adopt CAPs, facilitating conditions and voluntariness of use on the actual use of CAPs; and thirdly, the impact of the actual use of CAPs on sustainable farm performance. This study is based on survey data collected by structured interviews of rice farmers in rural Pakistan, which consists of 336 samples. The final analysis is performed using two methods: (1) a well-established and conventional way of Partial Least Squares Structural Equation Modeling (PLS-SEM) using Smart PLS 3.0, and (2) a frontier technology of computing using an artificial neural network (ANN), which is generated through a deep learning algorithm to achieve maximum possible accuracy. The results reveal that profit orientation and environment attitude as behavioural inclination significantly predicts the intention to adopt CAPs. The perception of effort expectancy can significantly predict the intention to adopt CAPs. Low intention to adopt CAPs caused by the low-level trust on extension, low-performance expectancy, and low social influence for the CAPs. The adoption of CAPs is affected by facilitating conditions, voluntary use of CAPs, and the intention to adopt CAPs. Lastly, the use of CAPs can positively and significantly forecast the perception of sustainable farm performance. Thus, it is concluded that right policies are required to enhance the farmers’ trust on extension and promote social and performance expectation for CAPs. Besides, policy recommendations can be made for sustainable agriculture development in developing and developed countries.

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