scholarly journals Transportation and Physical Distribution Managements on Profitability of Livestock Dealers in Selected Livestock Markets in Ogun State, Nigeria

2019 ◽  
pp. 1276-1285
Author(s):  
Dr. Onu C. A. ◽  
Dr. Akinlabi B. H. ◽  
Dr. Kabuoh M. N. ◽  
Odunmbaku A. A.
Keyword(s):  
Sample Size ◽  
Partial Least Square ◽  
Least Square ◽  
Logistics Management ◽  
Equation Modeling ◽  
Physical Distribution ◽  
Transportation Management ◽  
Distribution Management ◽  
Ogun State ◽  
Livestock Markets

Transportation and physical distribution are elements of logistics management which organizations realized that improvement in logistics would enable them to gain competitive advantage and achieved higher profitability around the world. Transportation of livestock (sheep, rams, cattle, goats) from the north to the south in Nigeria is very expensive and risky business among illiterate livestock dealers. Also, the livestock are kept standing, and some cases lying in the vehicles throughout the long journey of between 2-3 days with bad shape of most Nigerian roads which trucks and vehicles are prone to accidents. This study examined the effect of transportation and physical distribution management on profitability of livestock dealers in selected livestock markets in Ogun State, Nigeria. This study adopted survey research design. The population of the study comprised 1678 livestock dealers across four main divisions (Remo, Ijebu, Yewa, Egba) of Ogun State. The sample size estimated through raosoft sample size calculator was 407 selected through a multi-stage sampling technique.This sampling technique was used because livestock dealers are scattered across the four main divisions of Ogun State. A structured and adapted survey questionnaire was validated and used for collecting of data for the study. The Cronbach’s alpha coefficients for the constructs, ranged from 0.782 to 0.838. The response rate was 79.7%. Data were analyzed using descriptive statistics (Partial Least Square Structural equation modeling). Findings revealed significant influence of transportation management activities on the profitability of livestock dealers in selected markets in Ogun State β=.495, t=11.814, p<0.05). Physical distribution management had effect on profitability of livestock dealers in selected livestock markets in Ogun State (β=.839, t=41.453, p<0.05). The study concluded that logistics management has the opportunity to increase the profitability of livestock dealers and to be recognized for that contribution by implementing initiatives in the areas of transportation management activities and physical distribution management. It recommended a channel that enables faster distribution of livestock and at lower cost should be put in place. Also, it is necessary because physical distribution of livestock is essential for livestock dealers to realize their potential revenue and achieve customer satisfaction.

Malaysian SMEs m-commerce adoption: TAM 3, UTAUT 2 and TOE approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maruf Gbadebo Salimon ◽  
Olanrewaju Kareem ◽  
Sany Sanuri Mohd Mokhtar ◽  
Olayemi Abdullateef Aliyu ◽  
Jibril Adewale Bamgbade ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Sample Size ◽  
Online Survey ◽  
Computer Anxiety ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Universal Theory ◽  
Content Type ◽  
Environment Model

Purpose The purpose of this study is to examine the factors that influence Malaysian Small and Medium Enterprises (SMEs) to adopt mobile commerce (m-commerce) by integrating the constructs of Technology Acceptance Model 3 (TAM 3), Universal Theory of Acceptance and Use of Technology 2 and Technology-Organization-Environment model. Though numerous m-commerce adoption (MCA) studies have been conducted, lesser attention is paid to how hedonic motivation (HM) can influence organizational users such as SMEs. This study bridges the gap by integrating the three models to provide a new lens to guide SMEs. Design/methodology/approach To examine the factors that influence the adoption of m-commerce, the researchers collected data from SMEs in Malaysia using an online survey. The sample size of the participants was determined through the available list provided by SME Corp Malaysia. The researchers also used Krejcie and Morgan’s sample size and G * Power techniques to determine that the sample size was appropriate. The data collected were analyzed using partial least square-structural equation modeling. Findings The findings of this study reveal that technological factors (computer self-efficacy [CSE], result demonstrability [RD] and computer anxiety [CA]) positively and significantly influence MCA. Likewise, the organizational/environmental factors (m-commerce knowledge, pressure from trading partners and pressure from competitors) positively and significantly influence MCA. The moderating influence of HM was also achieved on the relationship between CSE and RD. However, the proposed hedonic moderating relationship between CA and the adoption of m-commerce is not significant. Research limitations/implications This study integrates three models to explain the adoption of m-commerce among SMEs in Malaysia and tested the moderating influence of HM. The results obtained better explain the decision by the SMEs to use m-commerce. Originality/value The study critically considered how m-commerce can be adopted by SMEs in Malaysia, which previous studies have largely ignored. Considering this, the study, therefore, advances a new relationship by integrating Technology-organization-environment model with TAM 3 and the moderating influence of HM to explain MCA among SMEs. This paper is one of the few research studies to test the moderating influence of HM in this regard.

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.

Perceived effectiveness of in-service training in improving Teacher's Performance: Evidence from Private Schools in Karachi-Pakistan

2020 ◽  
Author(s):  
Seema Chandani ◽  
Dr. afaq kazi ahmed
Keyword(s):  
Structural Equation Modeling ◽  
Sample Size ◽  
Private Schools ◽  
Structural Equation ◽  
School Management ◽  
Partial Least Square ◽  
Equation Modeling ◽  
Perceived Effectiveness ◽  
Purposive Sampling ◽  
Service Training

<p><b>Research Paradigm:</b> The approach for this study is based on positivism theory with an intention to obtain evidence through focused observations and identify its likeliness with the actual data collected so that it can be generalized with the findings of other scholars who have worked on the topic (Remenyi et al., 1998). As elaborated by (Gill & Johnson, 2002), the crux of positivism philosophy revolves around the relationship of cause and its effect generated by different constructs, and the best possible exploration of these variables.</p><p><b>Research Design:</b> Primary data would be collected through a structured close-ended questionnaire which use to gather the responses from the stakeholders including teachers, coordinators, and school management and human resource personnel in the private schools. Therefore, the research questionnaire adapted from Dogan (2009) and Asiyai (2016) as a research instrument.</p> <p><b>Sample Size and Sampling technique:</b> The target population for this research study consists of different stakeholders for instance: teachers, coordinators, and school management and HR personnel working in private schools of Karachi -Pakistan. Non-probability purposive sampling is being used for this study. The sample size of 400 different stakeholders from private schools would be adequate to figure out the results (Loehlin, 2004). Since the actual size of the population is not exactly known and neither accessible to conduct random sampling, therefore non probability purposive sampling is chosen. Since the sample consists of different stakeholders for instance: teachers, coordinators, and school management and HR personnel working in private schools of Karachi -Pakistan. Therefore, it is a purposive sampling.</p><p><b>Data Collection Tool:</b> In this study we used the quantitative research to measure the perceived effectiveness of in-service training in improving teacher’s performance with one independent variables: in-service training (Training need assessment and training methodology), one dependent variables teachers performance (Task performance and contextual performance), 03 mediators (professional skills, knowledge enhancement and work engagement) and one moderator (reward). Questionnaire has distributed in the several schools by hand or through email.</p><p><b>Statistical Technique:</b> Since the model consists of multiple variables with mediation and moderation model, therefore the Structural Equation Modeling (SEM) is used. The interface terms integrated with the model is measured for statistical significance via bootstrapping method. The structural equation modeling has executed by the partial least square approach.</p><p></p>

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.

Modeling the Factors that Influence Ghanaian Entrepreneurs to Adopt e-Commerce

2021 ◽  
Vol 18 (06) ◽  
Author(s):  
Frederick Pobee
Keyword(s):  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Unified Theory ◽  
Cross Sectional ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

This study investigated the factors that influence Ghanaian entrepreneurs to adopt e-commerce. Cross-sectional data was gathered from 520 entrepreneurs in the most populous and industrious regions in Ghana. The unified theory of acceptance and use of technology (UTAUT) was employed to effectively understand the unexplored phenomenon of e-commerce adoption among Ghanaian entrepreneurs. Partial Least Square-Structural Equation Modeling (PLS-SEM) was used to test the hypothesized relationships. The findings indicate that performance expectancy, effort expectancy, and social influence (SI) positively and significantly influenced the behavioral intention (BI) to adopt e-commerce. Facilitating conditions (FC) and BI had a significant positive relationship with the adoption of e-commerce.

m-Learning Management System use during Covid-19

2021 ◽  
pp. 026666692110354
Author(s):  
Akhmad Habibi ◽  
Mohd Faiz Mohd Yaakob ◽  
Ahmad Samed Al-Adwan
Keyword(s):  
Distance Education ◽  
Technology Acceptance ◽  
Management System ◽  
Learning Management System ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Learning Management

The current study examined factors affecting higher education students’ use of a mobile-based Learning Management System (m-LMS) for distance education during the Corona Virus Disease 2019 (Covid-19). A survey instrument based on the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) was established and validated. The primary data were gathered from 1032 responses. The data were computed in SmartPLS 3.2. Partial Least Square Structural Equation Modeling (PLS-SEM) procedures were conducted to assess the measurement and structural models. The proposed model is valid and reliable. Findings of the study show that relationships emerge in seven out of ten hypotheses. The strongest relationship is between Perceived Usefulness and Attitude while the weakest exists between Perceived Ease of Use and Attitude. This study emphasizes awareness about the use of m-LMS in education, especially during distance education due to pandemics like Covid-19. The model is expected to provide a useful base for future academicians interested in conducting similar topics of research.

From managing customers to joint venturing with customers: co-creating service value in the digital age

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christine Falkenreck ◽  
Ralf Wagner
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Business Models ◽  
Joint Venture ◽  
Digital Age ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type

Purpose Until today, scholars claim that the phenomenon of “co-creation” of value in an “interacted” economy and in the context of positive actor-to-actor relationships has not been adequately explored. This study aims to first to identify and separate the accessible values of internet of things (IoT)-based business models for business-to-business (B2B) and business-to-government (B2G) customer groups. It quantifies the drivers to successfully implement disruptive business models. Design/methodology/approach Data were gathered from 292 customers in Western Europe. The conceptual framework was tested using partial least square structural equation modeling. Findings Managing disruptions in the digital age is closely related to the fact that the existing trust in buyer-seller relationships is not enough to accept IoT projects. A company’s digitalization capabilities, satisfaction with the existing relationship and trust in the IoT credibility of the manufacturer drives the perceived value of IoT-based business models in B2B settings. Contrastingly, in B2G settings, money is less important. Research limitations/implications Research refers to one business field, the data set is of European origin only. Findings indicate that the drivers to engage in IoT-related projects differ significantly between the customer groups and therefore require different marketing management strategies. Saving time today is more important to B2G buyers than saving money. Practical implications The disparate nature of B2B and B2G buyers indicates that market segmentation and targeted marketing must be considered before joint-venturing in IoT business models. To joint venture supply chain partners co-creating value in the context of IoT-related business models, relationship management should be focused with buyers on the same footing, as active players and co-developers of a personalized experience in digital service projects. Originality/value Diverging from established studies focusing on the relationship within a network of actors, this study defines disruptive business models and identifies its drivers in B2B and B2G relationships. This study proposes joint venturing with B2B and B2G customers to overcome the perceived risk of these IoT-related business models. Including customers in platforms and networks may lead to the co-creation of value in joint IoT projects.

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