ERP System Adoption Analysis Using TOE Framework in Permata Hijau Group (PHG) Medan

2018 ◽  
Vol 14 (3) ◽  
pp. 91-105 ◽  
Author(s):  
Catherine Catherine ◽  
Edi Abdurachman
Keyword(s):  
Business Strategy ◽  
Online Survey ◽  
Simple Random Sampling ◽  
External Support ◽  
Relative Advantage ◽  
Management Support ◽  
Erp System ◽  
Top Management Support ◽  
Competition Pressure ◽  
Adoption Intention

In this research, employee adoption intention is important consideration of successful ERP system implementation. The purpose of this research is to identify the important factors in Technology-Organization-Environment framework that affect ERP system adoption's intention. Online survey data were collected from 175 employees with active status from each department who had used ERP in PHG, Indonesia. The research data was collected through simple random sampling method and applying SEM in AMOS 24. The results of this article proves that technology readiness, organization size, and external support significantly influence ERP system adoption intention. Compatibility, relative advantage, complexity, top management support, business operation, and competition pressure have no significant influence on ERP system adoption intention. Thus, it can be concluded that ERP system adoption's intention is important to enhance corporate competitive advantage. Adopted ERP system can be developed continuously by involving employees to achieve information technology and business strategy within company.

scholarly journals Predictors of physicians’ intentions to use clinical practice guidelines on antimicrobial in tertiary general hospitals of China: a structural equation modeling approach

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Qingwen Deng ◽  
Zhichao Zeng ◽  
Yuhang Zheng ◽  
Junhong Lu ◽  
Wenbin Liu
Keyword(s):  
Perceived Risk ◽  
Subjective Norms ◽  
Ease Of Use ◽  
Relative Advantage ◽  
Equation Modeling ◽  
Top Management ◽  
Intention To Use ◽  
Management Support ◽  
General Hospitals ◽  
Top Management Support

Abstract Background With inappropriate use of antimicrobials becoming a great public health concern globally, the issue of applying clinical practice guidelines (CPGs) to regulate the rational use of antimicrobials has attracted increasing attention. Taking tertiary general hospitals in China for example, this study aimed to identify factors to investigate the comprehensive influencing mechanism for physicians’ intention to use CPGs on antimicrobials. Methods Based on the integration of Theory of Planned Behavior (TPB), Technology Acceptance Model (TAM), and Technology-Organization-Environment framework (TOE), a questionnaire survey was conducted covering potential determinants of affecting physicians’ intentions to use CPGs on antimicrobials at the individual level (attitude, subjective norms and perceived risk), technical level (relative advantage and ease of use), and organizational level (top management support and organizational implementation). Data were collected from 644 physicians in tertiary general hospitals in eastern, central and western China, which were obtained by multi-stage random sampling. The structural equation modeling (SEM) was used to link three-level factors with physicians’ behavioral intentions. Results The majority of the participants (94.57%) showed a positive tendency toward intention to use CPGs on antimicrobials. The reliability and validity analysis showed the questionnaire developed from the theoretical model was acceptable. SEM results revealed physicians’ intentions to use CPGs on antimicrobials was associated with attitude (β = 0.166, p < 0.05), subjective norms (β = 0.244, p < 0.05), perceived risk (β = − 0.113, p < 0.05), relative advantage (β = 0.307, p < 0.01), top management support (β = 0.200, p < 0.05) and organizational implementation (β = 0.176, p < 0.05). Besides, subjective norms, perceived risk, relative advantage, ease of use, and top management support showed their mediating effects from large to small on the intentions, which were 0.215, 0.140, 0.103, 0.088, − 0.020, respectively. Conclusions This study revealed the significance of multifaceted factors to enhance the intention to use CPGs on antimicrobials. These findings will not only contribute to the development of targeted intervention strategies on promoting the use of CPGs on antimicrobials, but also provide insights for future studies about physicians’ adoption behaviors on certain health services or products.

Impact of supplier innovativeness, top management support and strategic sourcing on supply chain resilience

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Santanu Mandal
Keyword(s):  
Supply Chain ◽  
Online Survey ◽  
Strong Predictor ◽  
Organization Culture ◽  
Top Management ◽  
Management Support ◽  
Cross Sectional ◽  
Content Type ◽  
Strategic Sourcing ◽  
Top Management Support

PurposeThe purpose of this study is to explore the importance of supplier innovativeness (SI), top management support (TMS) and strategic sourcing (SS) in the development of supply chain (SC) resilience. The study also argues that organization culture (OC) strongly influences SI, TMS and SS in their importance in generating SC resilience.Design/methodology/approachThe study adopted a cross-sectional approach for collecting online-survey-based responses for evaluating the validity of the proposed associations. Respondents were chosen ensuring that they have sufficient exposure in SC operations in their respective designations. With two reminders, around 212 completed responses were received and analyzed using partial least squares in SmartPLS 2.0.M3.FindingsFindings suggested TMS as a positive enabler of SC resilience. However, although SI and SS had positive influences, they were not significant. The study argues that this may be attributed to the presence of OC as a strong precursor for SI, TMS and SS. The findings showed that OC is indeed a strong predictor of SI, TMS and SS.Originality/valueThe study has undersigned empirically the influence of OC in the development of SI, TMS and SS. The study is the foremost to acknowledge the influence of SI, TMS and SS on SC resilience.

What drives smartwatch adoption intention? Comparing Apple and non-Apple watches

2017 ◽  
Vol 35 (1) ◽  
pp. 186-206 ◽  
Author(s):  
Kuo-Lun Hsiao
Keyword(s):  
Online Survey ◽  
Diffusion Theory ◽  
Relative Advantage ◽  
Growth Strategies ◽  
New Product Adoption ◽  
Content Type ◽  
Innovation Diffusion Theory ◽  
Intention To Adopt ◽  
Further Development ◽  
Adoption Intention

Purpose The purpose of this study is twofold. First, an integrated model will be developed based on task-technology fit, innovation diffusion theory and the new product adoption model in order to explore the factors that affect smartwatch adoption. Second, the differences in the factors that affect users’ intention to adopt the Apple Watch and other smartwatches will be examined. Design/methodology/approach The data for this study were collected via an online survey questionnaire. The responses of 341 potential adopters of smartwatches were used to test the hypotheses in the research model. The casual model was assessed using partial least squares techniques. Findings The model can account for more than 50 percent of the variance in adoption intention. The research results affirm prior findings that perceived product attributes have relatively strong influence on adoption intention. Among these attributes, relative advantage has the strongest effect. Moreover, this study revealed differences between the antecedents of Apple watches and those of non-Apple watches. Practical implications The insights provided by this study can help smartwatch providers formulate better growth strategies. The findings also provide some directions for further development. Originality/value This study provides a better understanding of how the factors in the theories influence the adoption intentions of Apple watches and non-Apple watches.

scholarly journals Performance and Key Factors of Cloud Computing Implementation in the Public Sector

2021 ◽  
Vol 21 (1) ◽  
pp. 134-152
Author(s):  
Hasimi Sallehudin ◽  
Azana Hafizah Mohd Aman ◽  
Razli Che Razak ◽  
Mohammad Ismail ◽  
Nur Azaliah Abu Bakar ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Public Sector ◽  
Diffusion Of Innovation ◽  
Study Data ◽  
External Support ◽  
Operational Performance ◽  
Relative Advantage ◽  
Technological Characteristic ◽  
Management Support ◽  
Is Success

The reason to explain the cloud computing assimilation, as well as the understanding of the operational performance, still remains unclear. To investigate this issue, this study has examined the assimilation of cloud computing by examining the organization’s implementation of cloud computing and performance in the Malaysian public sector. Grounded by the Diffusion of Innovation Theory (DOI), Technology-Organization-Environment Framework (TOE) and IS Success Model. This study proposes a framework by decomposing Technological characteristic, Organizational characteristics, Environmental characteristics and Human characteristics as factors. A total of 169 agencies from the Malaysian public sector have participated in this study. Data for all the study variables have been collected through self-administered survey questionnaires and analysed using SEM-PLS. The study has shown that the effect of the operational effectiveness of cloud implementation is at a lower level. The study also reveals that factors of relative advantage, compatibility, perceived risks, top management support, and organizational readiness are found to have a significant effect on cloud computing implementation. However, both external support and government regulations are not significant to the cloud computing implementation in the Malaysian public sector. The results indicate that the model provides a good understanding of the factors that influence the implementation of cloud computing as well as operational performance.

scholarly journals The determinant factors for the adoption of CRM in the Palestinian SMEs: The moderating effect of firm size

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0243355
Author(s):  
Omar Hasan Salah ◽  
Zawiyah Mohammad Yusof ◽  
Hazura Mohamed
Keyword(s):  
Firm Size ◽  
Moderating Effect ◽  
Partial Least Square ◽  
Least Square ◽  
Relative Advantage ◽  
Top Management ◽  
Management Support ◽  
It Infrastructure ◽  
Top Management Support ◽  
Determinant Factors

CRM adoption can provide innumerable benefits to the SMEs performance, including solving customer problems in a timely manner, enhancing customer satisfaction by appointing an expert to solve issues and queries, and the like. This study aims to examine the moderating effects of the firm size in the adoption of CRM in the Palestinian SMEs. A quantitative approach was used to investigate the relationships between the variables, which are compatibility, IT infrastructure, complexity, relative advantage, security, top management support, customer pressure, and competitive pressure. A questionnaire was designed to collect data from 420 SMEs in Palestine. A total of 331 respondents completed and returned the survey. The Partial Least Square-Structural Equation Model (PLS-SEM) approach was used to assess both the measurement and structural models. The Diffusion of Innovation Theory (DOI) and Technology, Organization, and Environment Framework (TOE) framework were employed to identify the determinant factors from the technological, organizational, and environmental perspectives. The findings and conclusions of this study provide show that the moderating effect of firm size has significant effect compatibility, top management support, customer pressure, and IT infrastructure factors.

Big Data Adoption

2022 ◽  
pp. 1817-1842
Author(s):  
Hemlata Gangwar
Keyword(s):  
Big Data ◽  
Data Privacy ◽  
Manufacturing Sector ◽  
Sem Analysis ◽  
Relative Advantage ◽  
Organizational Size ◽  
Management Support ◽  
Contributing Factors ◽  
Confirmatory Factor Analyses ◽  
Top Management Support

This study inspects how big data is comprehended by IT experts and the difficulties that they have in respect to the reception of big data examination. The study also looks into the contributing factors of big data adoption within the manufacturing and services sectors in India. The data were analyzed using exploratory and confirmatory factor analyses, and relevant hypotheses were derived and tested by SEM analysis. The findings revealed that relative advantage, compatibility, complexity, organizational size, top management support, competitive pressure, vendor support, data management, and data privacy are the factors that are important for both industries. Through a comparison of the industries, statistically significant differences between the service and the manufacturing sectors were found; in other words, it has been noted that the relative importance of all factors for big data adoption differs between the industries, with the only exception being its complexity – it was found to be insignificant for the manufacturing sector.

The Impacts of Enterprise Resource Planning System Adoption on Firm's Performance Among Medium Size Enterprises

2020 ◽  
Vol 11 (1) ◽  
pp. 24-42 ◽  
Author(s):  
Adejare Yusuff Aremu ◽  
Arfan Shahzad ◽  
Shahizan Hassan
Keyword(s):  
Communication Process ◽  
Planning System ◽  
Future Research ◽  
Medium Size ◽  
Top Management ◽  
Management Support ◽  
Erp System ◽  
Top Management Support ◽  
Medium Enterprises ◽  
The Relationship

The main objective of this study is to investigate the impacts of ERP system adoption on the relationship between performance of medium enterprises (PME) and communication process (CP), organization structure (OS), technological change (TC), and technology infrastructure support (TIS) and moderated by top management support. This study proposes a theoretical framework based on theories such as resource-based view, contingency theory, and diffusion of innovation. The data was collected from the medium-sized enterprise firms operating in South Western Nigeria. Out of the 658 questionnaires distributed, only 355 were useable. The empirical data was analyzed using the partial least squares structural equation modelling and the results showed that CP, OS, TC, TIS, ERP and TMS have significant direct relationship with the PME. Hence, ERP system adoption mediates the relationship between the CP, OS, TC, and TIS with PME. The findings show that CP, OS, TC, TIS will influence the performance of medium enterprises in the adoption of ERP. The findings also confirm that the top management support plays an important role in moderating the relationship between ERP and PME. The findings provide important insights to CEO, managers, policymakers and researchers to understand the important use of ERP system that will enhance the performance of medium-sized enterprise organizations in Nigeria. Limitation of the study is based on medium-sized enterprise only and another limitation is that author has not included other measures of medium sized enterprises performance outside of the procurement area despite these factors could provide further insights to medium sized enterprises performance, and will be an interesting topic for future research. In this light, future research can focus on the evolution of small enterprises and large firms.

scholarly journals Preliminary insight into cloud computing adoption in a developing country

2016 ◽  
Vol 29 (4) ◽  
pp. 505-524 ◽  
Author(s):  
Prince Kwame Senyo ◽  
John Effah ◽  
Erasmus Addae
Keyword(s):  
Cloud Computing ◽  
Developing Country ◽  
Quantitative Research ◽  
Relative Advantage ◽  
Management Support ◽  
Content Type ◽  
Top Management Support ◽  
Cloud Computing Adoption ◽  
Trading Partners ◽  
Toe Framework

Purpose – The purpose of this paper is to investigate the determinants of cloud computing adoption (CCA) in a developing country context through the lens of the technology, organisation and environment (TOE) framework. Design/methodology/approach – The study was carried out using the quantitative research methodology based on a survey of 305 organisations from different industries in Ghana. Based on the TOE framework, a conceptual model consisting of ten hypotheses were proposed and tested through a confirmatory factor analysis and logistic regression analysis. Findings – The findings indicate that relative advantage, security concern, top management support, technology readiness, competitive pressure and trading partners’ pressure were the TOE factors found to be significant in CCA in a developing country context. Conversely, firm size, scope, compatibility and regulatory support were found to be insignificant. Originality/value – This study provides insights into CCA across different industries in a developing country environment. The study is arguably the first kind of empirical research into CCA in a developing country context, specifically in Ghana. The findings from this study provide a foundation for other studies as well as constructive insights for the development of cloud computing, due to its infancy in the developing world.

scholarly journals Key Factors in the Implementation of the Internet of Things in the Hotel Sector

2021 ◽  
Vol 11 (7) ◽  
pp. 2924
Author(s):  
Alfonso Infante-Moro ◽  
Juan C. Infante-Moro ◽  
Julia Gallardo-Pérez
Keyword(s):  
Internet Of Things ◽  
Influential Factors ◽  
Fuzzy Cognitive Maps ◽  
Relative Advantage ◽  
The Internet ◽  
Management Support ◽  
Top Management Support ◽  
Security Business ◽  
Or Manager ◽  
The Internet Of Things

Many factors can influence decision-making, and if you wish to know which are the most influential factors in a decision, they must be classified by their degrees of influence. This study seeks to determine the most influential factors in the decision of hotels to accept and implement the Internet of Things in their services through a literary review and a causal study carried out on experts in technology and hotels. The methodology involves the use of fuzzy cognitive maps and the FCMappers tool. The results obtained show that the following factors are among the most influential (in order of relevance): the perceived reliability of the technology, the relative advantage it gives, the level of top management support, compatibility, customer pressure, information systems provider support, security, business partner pressure, characteristics of the leader or manager, government pressure or incentives, pressure from competitors, technological organizational readiness, complexity, size of the company, and the perceived cost.

scholarly journals Analysis of E-Commerce Adoption by SMEs Using the Technology - Organization - Environment (TOE) Model: A Case Study in Karawang, Indonesia

2021 ◽  
Vol 2 (4) ◽  
pp. 1113-1132
Author(s):  
Lila Setiyani ◽  
Yeny Rostiani
Keyword(s):  
Data Collection ◽  
Environmental Indicators ◽  
Organization Culture ◽  
Perceived Usefulness ◽  
Government Support ◽  
Relative Advantage ◽  
Management Support ◽  
Top Management Support ◽  
Intention To Adopt

E-commerce as a medium for online transactions by business actors can increase the productivity of SMEs. This study aims to analyze the adoption of e-commerce in SMEs in Karawang Regency, Indonesia. The technology-organization-environment (TOE) framework was chosen as a variable for measuring e-commerce adoption. Data collection was carried out through a questionnaire survey which was distributed to SMEs in Karawang Regency, and obtained 301 respondents. The results of data collection by using Smart PLS with the results of the technological aspects have no significant effect on the intention to adopt e-commerce, while the organizational and environmental aspects have a significant effect on the intention to adopt e-commerce. All technology indicators, namely compatability, perceived usefulness, complexity, security concern and relative advantage, are proven to have a significant effect on technology in the intention to adopt e-commerce. Organizational indicators, namely cost, organization readiness, organization culture, organization size and top management support, are proven to have a significant effect on organizations in their intention to adopt e-commerce. Meanwhile, environmental indicators, namely government support, competitive pressure, environmental uncertainty and vendor quality, have a significant effect on the environment in the intention to adopt e-commerce. The data that has been generated can be used by the MSMEs management agency in Karawang Regency to formulate strategies for increasing the productivity of SMEs.

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