scholarly journals Factors Affecting Poor Strategy Implementation

2013 ◽  
Vol 15 (2) ◽  
pp. 183
Author(s):  
Muh. Darmin Ahmad Pella ◽  
Ujang Sumarwan ◽  
Arief Daryanto ◽  
. Kirbrandoko
Keyword(s):  
Firm Performance ◽  
Performance Appraisal ◽  
Structural Equation ◽  
Strategy Implementation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Technology Competence ◽  
Implementation Problems

Research on strategy implementation has been developed for three decades, yet only a few studies focus on factors affecting poor strategy implementation. This research evaluates the influence of strategy implementation problems on strategy implementation success and firm performance. This survey was conducted in 60 Indonesian companies and the data were statistically analysed using Structural Equation Modeling Partial Least Square (SEM PLS). The results show significant influence of strategy implementation problems on the degree of successful strategy implementation and perceived firm performance. The seven major obstacles that have impact on poor strategy implementation are: problems related to corporate scorecard, key performance indicators, information technology, competence, performance appraisal, strategy management office, and financial support.                  

scholarly journals Joint Programs in Vietnam in the Time of COVID-19 Pandemic: “A model” of Students’ Preference (What do Learners Care about?)

2021 ◽  
Vol 37 (1) ◽  
Author(s):  
Pham Huong Giang ◽  
Tu Thuy Anh ◽  
Luong Ngoc Oanh
Keyword(s):  
Higher Education ◽  
Education Policy ◽  
Higher Education Policy ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Choice Modelling ◽  
Significant Drop ◽  
Factors Affecting

This study is among the first attempts to provide an understanding of factors affecting students’ intention to choose the joint programs for undergraduate education in Vietnam in the time of new normal context (i.e. COVID-19 pandemic). A questionnaire-based survey was employed to collect data from high school and undergraduate students. The Partial Least Square-Structural Equation Modeling (PLS-SEM) method is used to analyze the data collected. Overall, results show that the joint programs that are attractive to Vietnamese students/pupils should have international standardized content, include subjects that are highly applicable, qualification of teaching staffs. In terms of COVID-19 pandemic effect, the COVID-19 pandemic increases the probability of student choosing joint programs. This finding predicts that there may be a significant drop in the number of students studying the joint programs in Vietnam after the COVID-19 is under control as they may go to study abroad. Keywords: Joint program, Vietnam, student’s preference, PLS-SEM. References [1] R. Mellors-bourne, T. Hooley, J. Marriott, Understanding how people choose to pursue taught postgraduate study (2014). https://derby.openrepository.com/handle/10545/315917[2] K. M. Elliott, D. Shin, Student Satisfaction: An alternative approach to assessing this important concept. Journal of Higher Education Policy and Management, 24(2) (2002) 197–209. https://doi.org/10.1080/1360080022000013518.[3] R.A. Peterson, W.R. Wilson, Measuring Customer Satisfaction: Fact and Artifact. Journal of the Academy of Marketing Science 20(1) (1992) 61–71. https://doi.org/10.1177/009207039202000106[4] P. Sheppard, R. Smith, What students want: using a choice modelling approach to estimate student demand. Journal of Higher Education Policy and Management 38(2) (2016) 140–149 (in Vietnamese). https://doi.org/10.1080/1360080X.2016.1150236[5] N.Q. Nghi, K.N. Huyen, P.Q. Cuong, L.K. Thanh, Factors affecting satisfaction on conducting scientific research among young lecturers in Can Tho University. Can Tho University Journal of Science, 51 (2017) 41-52. https://doi.org/10.22144/ctu.jvn.2017.093 [6] J. Hemsley-Brown, I. Oplatka, University choice: What do we know, what don’t we know and what do we still need to find out? International Journal of Educational Management, 29(3) (2015) 254–274. https://doi.org/10.1108/IJEM-10-2013-0150[7] R. McManus, J. Haddock-Fraser, P. Rands, A methodology to understand student choice of higher education institutions: the case of the United Kingdom. Journal of Higher Education Policy and Management, 39(4) (2017) 390–405. https://doi.org/10.1080/1360080X.2017.1330806.

scholarly journals Impact of COVID-19 Pandemic on Consumers Purchase Behaviour Through Social Media

2021 ◽  
Vol 1 (1) ◽  
pp. 14-19
Author(s):  
Lim Kah Boon ◽  
Yeo Sook Fern ◽  
Tan Cheng Ling ◽  
Wong Wei Wen
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Product Variety ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Digital Tool ◽  
Online Retail ◽  
Factors Affecting ◽  
The Public

Social media refers to any digital tool that allows users to quickly create and share content with the public. The COVID-19 pandemic has indirectly changed consumers' purchasing habits, causing them to shift from traditional store purchases to online retail store purchases. Social media also changes the specialized strategies among sellers and purchasers. The main objective of this study is to investigate the factors affecting consumer purchase behaviour through social media during the COVID-19 outbreak. A set of the self-administered questionnaire has been distributed to 215 targeted young adults in three states of Malaysia which are Johor, Melaka and Selangor. The four independent variables are price, convenience, product variety and risk, are tested on their relationship towards the dependent variable, which is the purchase behaviour of consumers during the COVID-19 outbreak. The collected data were keyed into SPSS version 26 and followed by using Partial Least Square Structural Equation Modeling (PLS-SEM 3.3.3) to assess the hypothesis.  The analysis result showed that all hypotheses are supported. Lastly, the result of this research will benefit the marketers for their information to understand the consumer purchase behaviour through social media during the COVID-19 pandemic.

Effect of Job-Insecurity, Organizational Commitment, Job Satisfaction on Turnover Intention: A Case Study of Newcomer Lecturers at Private Islamic Universities in East Java Province, Indonesia

2018 ◽  
Vol 6 (2) ◽  
pp. 199
Author(s):  
Asep Saifuddin Chalim
Keyword(s):  
Job Satisfaction ◽  
Organizational Commitment ◽  
Turnover Intention ◽  
Structural Equation ◽  
Job Insecurity ◽  
Partial Least Square ◽  
Least Square ◽  
Path Model ◽  
Equation Modeling ◽  
Pls Analysis

This study discussed employee turnover as one of the crucial problems faced by every organization. This study sought to analyze the determinants of turnover intention, such as job insecurity, organizational commitment, and job satisfaction. The objects of this study were newcomer lecturers of private Islamic universities in East Java Province, Indonesia. To analyze the relationship among independent variables and dependent variable; this study employed a correlation path model. To build the structural formulation of the correlation path model, this study used the variance-based Structural Equation Modeling (SEM) as a Partial Least Square (PLS) analysis. The study found that job insecurity influenced job satisfaction and organizational commitment. Moreover, job satisfaction and organizational commitment had positive impacts on the turnover intention. In contrast, job insecurity did not have a direct significant impact on the turnover intention, but it had indirect effect that influences job satisfaction and organizational commitment.

A Partial Least Square Structural Equation Modeling: Prestige Perception in Tourism

2020 ◽  
Author(s):  
Murat Kayak
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Destination Brand ◽  
The Relationship ◽  
Intention To Revisit ◽  
Brand Prestige

This study aims to investigate destination brand prestige, and to explore the mediating effects of destination brand worldness between destination brand prestige and intention to revisit. Research is designed to collect primary data from the Taiwanese tourists. Partial least squares structural equation modeling is used to test the effects. The research model is appropriately implemented in Smart PLS 3 and a full mediation has existed through the empirical findings. The study shows how destination brand worldness mediates the relationship between destination brand prestige and intention to revisit.

Analysis of Natural Resources and Environment, Politico-Economic Conditions and their influences on Tourist Behavioural Intentions in Hunza: Mediating effect of Tourist Satisfaction

2020 ◽  
Vol 4 (4) ◽  
pp. 55-74
Author(s):  
Faqeer Muhammad ◽  
Kifayat Ullah ◽  
Rehmat Karim
Keyword(s):  
Natural Resources ◽  
Structural Equation ◽  
Positive Impact ◽  
Partial Least Square ◽  
Least Square ◽  
Mediating Effect ◽  
Economic Conditions ◽  
Primary Data ◽  
Equation Modeling ◽  
Tourist Satisfaction

This study aims to explore the influence of Natural Resources and Environment (NRE), Politico-Economic Conditions (PEC) on Tourist Behavioral Intension (TBI) in Hunza, Pakistan. The study further investigates the mediating role of Tourist Satisfaction (TS) on the given variables. Partial Least Square Structural Equation Modeling (PLS-SEM) technique has been applied to conceptualize the research frame and to test the proposed hypotheses. Primary data was collected by using convenient sampling technique for analysis from 220 tourists who visited tourism nucleus sites of Hunza. The finding of the study reveals that Natural resources and Environment, Politico-and Economic Conditions have a significant positive impact on Tourist’s Behavioral Intensions. Moreover, Tourist’s Satisfaction partially mediates the positive relationships among Natural Resources and Environment, Political & Economic Conditions and Tourist’s Behavioral Intensions. The findings of the study extend the understanding that presence of natural resources along with healthy environment and stable political & economic conditions of a destination are the key determinants for sustainable tourism development.

TRANSPARANSI PAJAK DAN KEPERCAYAAN WAJIB PAJAK TERHADAP KEPATUHAN WAJIB PAJAK (SURVEI PADAWAJIB PAJAK KOTA DKI JAKARTA)

2019 ◽  
Vol 4 (1) ◽  
pp. 1-18
Author(s):  
Madjidainun Rahma
Keyword(s):  
Structural Equation Modeling ◽  
Random Sampling ◽  
Structural Equation ◽  
Sampling Technique ◽  
Target Population ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Research Results ◽  
Positive Effect

This research aims to identify and examine the effect of the Tax Transparency and Trust Taxpayers Against the Taxpayer Compliance existing areas of Jakarta. The method used is descriptive and associative. Target population studied is Unit in Unit 14 Analysis of the Tax Office in the region of Jakarta. Sampling technique used is random sampling. Model influence analyzed using SEM (Structural Equation Modeling ) with alternative method PLS ( Partial Least Square ) which is aimed at testing the Influence between Tax Transparency and Trust Taxpayers Against the Taxpayer Compliance that there diunit analysis has been given permission to conduct research. Results of the analysis showed that partially Tax Transparency and unsignificant positive effect on the Taxpayer Compliance. Similarly, the Trust Taxpayers partially positive and significant impact to the Taxpayer Compliance . Simultaneously Transparency and Trust Tax Taxpayers Against the Taxpayer Compliance effect, this means that the Tax and Trust trades Taxpayers together will increase the Taxpayer Compliance.   Keywords: Tax Transparency, Trust, Taxpayer Compliance.     Penelitan ini bertujuan untuk mengetahui dan menguji pengaruh Transparansi Pajak dan Kepercayaan Wajib Pajak Terhadap Kepatuhan Wajib Pajak yang ada wilayah DKI Jakarta. Metode yang digunakan adalah deskriptif dan asosiatif. Populasi target yang diteliti ialah Satuan Kerja yang ada di Unit Analisis 14 Kantor Pelayanan Pajak diwilayah DKI Jakarta. Teknik sampel yang digunakan ialah random sampling. Model pengaruh di analisa menggunakan analisis SEM (Structural Equation Modeling) dengan metode alternative PLS (Partial Least Square) yang bertujuan menguji Pengaruh antara Transparansi Pajak dan Kepercayaan Wajib Pajak Terhadap Kepatuhan Wajib Pajak yang ada diunit analisis yang telah diberi ijin untuk melakukan penelitian. Hasil analisis menunjukan bahwa Transparansi Pajak secara parsial berpengaruh positif dan tidak signifikan terhadap Kepatuhan Wajib Pajak. Begitu pula dengan Kepercayaan Wajib Pajak yang secara parsial berpengaruh positif dan signifikan terhadap Kepatuhan Wajib Pajak. Secara simultan Transparansi Pajak dan Kepercayaan Wajib Pajak berpengaruh Terhadap Kepatuhan Wajib Pajak, hal ini berarti bahwa dengan Transakasi Pajak dan Kepercayaan Wajib Pajak bersama-sama maka akan meningkatkan Kepatuhan Wajib Pajak.

scholarly journals Application of Blockchain for Supply Chain Financing: Explaining the Drivers Using SEM

2021 ◽  
Vol 7 (3) ◽  
pp. 167
Author(s):  
Mohammad Rokibul Kabir ◽  
Md. Aminul Islam ◽  
Marniati ◽  
Herawati
Keyword(s):  
Supply Chain ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Research Work ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Innovation Research ◽  
Supply Chain Financing ◽  
The Impact

Owing to the lack of research in emerging Asian nations, this research aimed to unearth the determinants of blockchain acceptance for supply chain financing by a Bangladeshi financing company called IPDC. Centred on a technology acceptance framework called UTAUT (unified theory of acceptance and use of technology) and open innovation research, an expanded model with a mediating variable is developed for this study. This research work employs the deductive inference method in conjunction with the positivism paradigm. A structural questionnaire was used to gather data, which were then processed through Smart-PLS (partial least square) for SEM (structural equation modeling). The survey includes all the people who are directly or indirectly involved in the supply chain financing platform of IPDC. The study consists of seven direct hypotheses and one mediating hypothesis. The results show that all the direct hypotheses except the impact of social influence on the behavioural intention to use (BINTU) blockchain are significant. The mediating hypothesis indicating the role of BINTU in the relationship between facilitating conditions (FCON) and the actual use of blockchain is also supported. FCON and BINTU together explain 88.7% variation in blockchain use behaviour for supply chain financing. The research advances past findings by employing an expanded UTAUT framework and validating observations with the other relevant studies throughout the world.

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