Performance expectancy and use of enterprise architecture: training as an intervention

2014 ◽  
Vol 27 (2) ◽  
pp. 180-196 ◽  
Author(s):  
Benjamin T. Hazen ◽  
LeeAnn Kung ◽  
Casey G. Cegielski ◽  
L. Allison Jones-Farmer
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Enterprise Architecture ◽  
Critical Role ◽  
Equation Modeling ◽  
Survey Method ◽  
Success Factor ◽  
Content Type ◽  
Performance Expectancy ◽  
And Training

Purpose – Enterprise architecture (EA) aligns information systems with business processes to enable firms to reach their strategic objectives and, when effectively employed by organizations, can lead to enhanced levels of performance. However, while many firms may adopt EA, it is often not used extensively. The purpose of this paper is to examine how performance expectancy (PE) and training affect the degree to which organizations use EA. Design/methodology/approach – The paper employed a survey method to gather data from IT professionals, senior managers, and consultants who work within organizations that have adopted EA. Covariance-based structural equation modeling was used to analyze the research model and test the hypotheses. Findings – The paper found PE to be a significant predictor of EA use. In addition, training is also shown to enhance use of EA while also playing a mediating role within the relationship between PE and use of EA. Research limitations/implications – The study is limited by the focus only on training as an intervention. Other mediators and/or moderators such as top management support and organization culture may also play an important role and should be examined in future studies. Nonetheless, the study demonstrates the critical role that training can play in facilitating widespread use of EA within organizations. Practical implications – Widespread use is a critical success factor for organizations that want to gain the maximum possible benefit from EA. To achieve extensive use, the study suggests that organizations that adopt EA should consider implementing a formal and robust education and training program. Originality/value – This study extends the research on information technology training by examining the role of training as an intervention within the technology acceptance paradigm. The paper also contributes to the literature regarding post-adoption innovation diffusion by demonstrating the efficacy of organizational training in promoting widespread usage.

A strategy tripod perspective on merger effectiveness in the higher education industry: the mediating role of future foresight

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zahraa Sameer Sajwani ◽  
Joe Hazzam ◽  
Abdelmounaim Lahrech ◽  
Muna Alnuaimi
Keyword(s):  
Higher Education ◽  
Structural Equation ◽  
Government Support ◽  
Equation Modeling ◽  
Survey Method ◽  
Content Type ◽  
Mediating Role ◽  
Education Industry ◽  
Higher Education Industry

PurposeThe purpose of the study is to investigate the role of the strategy tripod premises, mediated by future foresight and its effect on merger effectiveness in the higher education industry.Design/methodology/approachA quantitative survey method was implemented, with the data provided by senior managers of 14 universities that went through a merger from the years 2013–2016. The proposed model was tested using partial least squares (PLS) of structural equation modeling (SEM).FindingsThe results indicate that government support, competitive intensity and knowledge creation capability relate positivity to merger effectiveness, and these relationships are mediated by future foresight competence.Originality/valueThe study provides a better understanding of merger effectiveness in the higher education industry by identifying the role of future foresight competence in the application of strategy tripod and its contribution on merger effectiveness. Results indicate that future foresight competence contributes to the merger effectiveness and enables the effective implementation of the strategy tripod dimensions in higher education mergers.

Individual social entrepreneurial orientation in Brazil: measurement and the predictive role of personal values and attitude toward social change

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Márcia Maria Garçon ◽  
Vânia Maria Jorge Nassif ◽  
Tiago Jessé Souza de Lima
Keyword(s):  
Social Change ◽  
Entrepreneurial Orientation ◽  
Structural Equation ◽  
Personal Values ◽  
Explanatory Power ◽  
Equation Modeling ◽  
Survey Method ◽  
Social Entrepreneurs ◽  
Content Type ◽  
Self Transcendence

Purpose The purpose of this paper is to develop and test a model that aims to explain individual entrepreneurial orientation (IEO) focused on the context of social entrepreneurship (SE) (Social-IEO) by considering the personal values and attitude toward social change through direct and indirect effects. To achieve this purpose, the authors created and validated a scale to measure Social-IEO. Design/methodology/approach The paper uses scale construction techniques (DeVellis, 2016) and survey method for data collection. As such, this study was conducted by considering a sample of 198 social entrepreneurs. Multivariate data analysis and structural equation modeling are used to validate the theoretical model. Findings The Social-IEO scale was validated and shows to adequately encompass and measure the construct. The proposed model has predictive relevance and explains 45% of Social-IEO. Findings suggest that self-transcendence value has no direct effect on Social-IEO. Additionally, conservation and self-promotion values do not have a negative correlation with Social-IEO. Finally, attitude of social change has a strong explanatory power to Social-IEO. The findings offer important theoretical and practical implications for the field of entrepreneurship education and entrepreneurial behavior. Originality/value The definition of a specific concept of IEO applied to the context of SE contributes to the correct understanding of its dimensions, measurement and management. This eliminates a gap in studies and contributes to expand and strengthen research. It also provides an original empirical approach, as the method used to measure IEO in a reflective way is unusual in previous studies.

What influence users’ e-finance continuance intention? The moderating role of trust

2018 ◽  
Vol 118 (8) ◽  
pp. 1647-1670 ◽  
Author(s):  
Wangyue Zhou ◽  
Zayyad Tsiga ◽  
Boying Li ◽  
Shuning Zheng ◽  
Shuli Jiang
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Website Quality ◽  
Content Type ◽  
Positive Effects

Purpose The purpose of this paper is to identify antecedents of e-finance continuance intention with Alibaba’s Yu’E Bao as an example. Design/methodology/approach An online questionnaire was used to collect the data (n=293), and partial least squares structural equation modeling was employed for data analysis. Four e-finance features (perceived reputation, website quality, e-finance familiarity and situational normality) are introduced with trust acting as a moderator between the users’ satisfaction and continuance intention to use an e-finance platform. Findings The results find that website quality, familiarity and situational normality can influence perceived ease of use (PEOU) and perceived usefulness (PU). PEOU and PU, together with reputation, are positively associated with confirmation which further leads to satisfaction. The positive effects that satisfaction and trust have on e-finance continuance intention are confirmed, and trust is found to be a significant moderator on the relationship between satisfaction and continuance intention. Practical implications The findings can be used to guide e-finance providers to improve their platform design and services to retain users. Originality/value This study combines the theory of trust, Technology Acceptance Model and Expectations Confirmation Theory to investigate the factors that influence the continuance intention in the context of e-finance in China.

The effects of knowledge creation process on organizational performance using the BSC approach: the mediating role of intellectual capital

2018 ◽  
Vol 22 (4) ◽  
pp. 802-823 ◽  
Author(s):  
Gholamhossein Mehralian ◽  
Jamal A. Nazari ◽  
Peivand Ghasemzadeh
Keyword(s):  
Organizational Performance ◽  
Intellectual Capital ◽  
Knowledge Creation ◽  
Structural Equation ◽  
Positive Impact ◽  
Equation Modeling ◽  
Success Factor ◽  
Content Type ◽  
Key Dimensions ◽  
The Relationship

PurposeKnowledge is a key success factor in achieving competitive advantage in the current fast-paced and uncertain economic environment. Several studies in the literature have analyzed the relationship between knowledge creation (KC) and organizational success; however, the mechanisms by which KC leads to accumulation of intellectual capital (IC) and thereby affects various dimensions of organizational performance are understudied. The purpose of this paper is to examine how KC and IC and their relationship influence key dimensions of organizational performance.Design/methodology/approachA research model was developed and tested based on the literature in the areas of KC, IC and organizational performance. This study uses a survey sent to companies in an intensive knowledge-based industry. The balanced scorecard (BSC) approach was used to measure the key dimensions of organizational performance.FindingsThe results from structural equation modeling (SEM) on 470 completed questionnaires received from the pharmaceutical companies in Iran reveal that KC activities lead to the accumulation of organizational IC and IC has a crucial and positive impact on the BSC. Furthermore, the results from the path analysis indicate that IC mediates the effects of KC on the BSC.Practical implicationsThe findings of this study contribute to the extant literature on the relationship between knowledge and organizational performance by demonstrating that knowledge and KC lead to performance when organizations utilize KC activities and leverage them to accumulate IC. Once used effectively, IC will result in a better performance in the knowledge-intensive environments.Originality/valueThis is the first study that investigates how KC contributes to firm performance by incorporating the mediating impact of IC on the BSC. The proposed model and results will help organizations to identify the mechanisms through which KC initiatives improve organizational performance.

Understanding intentions to reduce energy consumption at the workplace by the employees: case of a developing country

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amna Akhound ◽  
Aseem Majeed Rizvi ◽  
Waqar Ahmed ◽  
Muhammad Nadeem Khan
Keyword(s):  
Energy Saving ◽  
Structural Equation ◽  
Energy Use ◽  
Energy Savings ◽  
Theoretical Research ◽  
Equation Modeling ◽  
Survey Method ◽  
Content Type ◽  
Saving Behavior ◽  
Save Energy

PurposeEnergy-saving behavior of individuals is essential to minimize energy use and reduce the emission of toxic gases. This study's actual focus is to find out the determinants of the energy-saving behavior of individuals in the workplace.Design/methodology/approachAs a theoretical research model, the extended theory of planned behavior (TPB) has been used to analyze the determinants of energy-saving intentions. A survey method is used to collect 289 valid data, and structural equation modeling (SEM) is used to analyze the data.FindingsThe final result shows that the variables attitude at home, subjective norm (SN) and descriptive norms positively impact intention to save energy at the workplace. In contrast, the construct attitude and perceived behavior control is insignificant in this research. On the other hand, the personal moral norm (PMN) is a powerful predictor of individual energy-saving intentions at the workplace.Originality/valueThis research provides insights that will help the organizations understand the behavior of individuals at the workplace for energy-saving intentions to formulate such policies that will enhance individuals' practice for energy savings.

Predicting place attachment through selfie tourism, memorable tourism experience and hedonic well-being

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Okki Trinanda ◽  
Astri Yuza Sari ◽  
Efni Cerya ◽  
Tri Rachmat Riski
Keyword(s):  
Significant Relationship ◽  
Place Attachment ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
Survey Method ◽  
Content Type ◽  
Tourism Experience ◽  
Meaningful Experiences ◽  
The Relationship

Purpose Selfie tourism is a fast-growing phenomenon. Given the convenience of photo-snapping and photo-sharing on social media, selfie tourism is seen as an emerging trend among travelers. This phenomenon gave consequence toward travelers’ behavior, especially on how it can affect their memorable tourism experience and place attachment. This paper aims to examine the relationship between selfie tourism, memorable tourism experience, hedonic well-being and travelers’ place attachment. Design/methodology/approach A self-administered survey method is used. This research was carried out during the COVID-19 pandemic, consequently, the data were collected via Google Form (online). The respondents are tourists who have visited various tourism destinations in West Sumatera, Indonesia. To test the hypotheses of this study, questionnaires are distributed to 450 respondents. The proposed model was tested using structural equation modeling. Findings The results of this study shows that selfie tourism has a positive and significant relationship toward both memorable tourism experience and hedonic well-being. In addition, memorable tourism experience and hedonic well-being also have a significant relationship with place attachment. Research limitations/implications The limitation of this study lies in the limited reference to the relationship between selfie tourism and memorable tourism experience and hedonic well-being, because this is the first study to examine the relationship of these variables. This study also has not tested the direct relationship between selfie tourism and place attachment and has not considered eudaemonic well-being as an antecedent of place attachment. Further research will discuss the direct effect of selfie tourism and eudaemonic experience on place attachment, as well as the moderating effect of memorable tourism and hedonic well-being. Practical implications This study shows the benefits obtained by tourism managers in preparing selfie facilities, as well as the ability to create meaningful experiences. It provides tourism practitioners with an understanding that tourist place attachment can be improved by both memorable tourism experience and hedonic well-being. Furthermore, both memorable tourism experience and hedonic well-being can be affected by selfie tourism. This understanding can enhance the tourism providers’ strategy to improve services that fit the characteristics of today’s tourists. Therefore, selfie tourism, memorable tourism experience and hedonic well-being can support tourism sustainability, especially in creating place attachments. Originality/value To the authors’ knowledge, this is one of the first studies that investigated the relationship between selfie tourism, memorable tourism experience and place attachment. From a market-specific context, this is also the first study that investigated the antecedents of place attachment on West Sumatera’s tourism.

Adoption of mobile banking at the bottom of the pyramid: an emerging market perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sonal Purohit ◽  
Rakhi Arora
Keyword(s):  
Technology Acceptance ◽  
Migrant Workers ◽  
Structural Equation ◽  
Emerging Market ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Bottom Of The Pyramid ◽  
Mobile Banking ◽  
Content Type

PurposeThis paper aims to investigate the factors that affect mobile banking adoption among the bottom of the pyramid (BoP) group in an emerging market.Design/methodology/approachData were collected from 332 bank customers in the BoP group through a questionnaire based on previously validated scales. Structural equation modeling (SEM) was applied using SmartPLS 2.0 to analyze the data.FindingsIt was found that perceived usefulness (PU) and perceived ease of use (PEoU) influence the attitude toward mobile banking positively whereas the perceived risk (PR) and perceived deterrents (PDs) influence the attitude negatively. The subjective norms (SNs) and the attitude positively affect mobile banking adoption. Knowledge of mobile banking has a strong effect on the PEoU, but it does not influence the PU of mobile banking.Originality/valueThis research makes an original contribution to the extant research and fills the gap by exploring the factors that affect the mobile banking adoption among a distinct BoP group (migrant workers) in an emerging market. The authors make use of knowledge of mobile banking and PDs as novel and important constructs in the technology acceptance model (TAM) to explore the factors that affect mobile banking adoption among the BoP.

From physical to virtual store: factors that spur Bangladeshi manufacturers/retailers to introduce multi-channel retailing

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md Thohidul Karim ◽  
Xu Qi
Keyword(s):  
Developing Countries ◽  
Technology Acceptance ◽  
Consumer Satisfaction ◽  
Structural Equation ◽  
Developed Countries ◽  
Point Of View ◽  
Equation Modeling ◽  
Content Type ◽  
Business Innovation ◽  
Major Factors

Purpose Multi-channel business operations are standard practice in most business contexts today. The popularity of multi-channel adoption among developing countries is growing fast. In Bangladesh, the retailers who adopted multi-channel retailing have been getting a very good response from the consumers. This study aims to understand the factors that influence manufacturers’ decisions to adopt multiple channels in Bangladesh. The authors applied an extended technology acceptance model with three variables: business innovation, business competition and consumer satisfaction. Design/methodology/approach Partial least squares-structural equation modeling was applied to test the data collected from 157 companies and relevant hypotheses. Findings The study findings show that Bangladeshi manufacturers are positive about, and expect benefits from, applying the new channel. The study also revealed that customer satisfaction considerably affects multi-channel adoption in Bangladesh. Similarly, business innovation and business competition play a significant role in introducing multiple business channels. Research limitations/implications This research was conducted in Bangladesh, and data are collected from Dhaka and Chittagong that may limit the generalizability of findings. Practical implications The research goal was to understand a manufacturer’s perception to adopt multi-channel in business. The proposed research model was able to address the major factors that drive a manufacturer to introduce multiple business channels, especially in Bangladesh. Originality/value Many research and case studies have been done the past couple of decades, but most of them are consumer oriented. Little research has been done to investigate a manufacturer’s point of view adapting innovation in business. Though some research articles are available online, most of them from developed countries. So, the study’s goal was to study developing countries scenario; thus, the authors choose Bangladesh.

scholarly journals Role of Personalization in Continuous Use Intention of Mobile News Apps in India: Extending the UTAUT2 Model

Information ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 33 ◽  
Author(s):  
Yanxia Cheng ◽  
Saurabh Sharma ◽  
Prashant Sharma ◽  
KMMCB Kulathunga
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Quantitative Methods ◽  
Moderating Effect ◽  
Sample Survey ◽  
Equation Modeling ◽  
Future Research ◽  
Performance Expectancy ◽  
Continuous Use

The aim of this study was to empirically examine the extended unified theory of acceptance and use of technology 2 (UTAUT2) model by adding “personalization” as one of the antecedents, as well as a moderator to determine the key factors for the continuous use intention of mobile news applications (apps). For this study, an online and manual sample survey of 309 respondents, who had used the news app earlier, was collected and analyzed, using quantitative methods such as explanatory and confirmatory factor analysis, structural equation modeling, and Hayes process for finding moderating effects among variables. The findings of the direct effect demonstrated that performance expectancy (PE) has the most influential effect on continuous use intention, followed by habit (HT), hedonic motivation (HM), and facilitating conditions (FC). Furthermore, the outcome of tests for the moderating effect of personalization between UTAUT2 constructs and continuous use intention (CUI) showed that personalization has a significant moderating effect on performance expectancy and habit. Therefore, this research establishes the key role of PE, HT, HM, and FC as main factors that trigger the users’ continuous use intention of news apps and provides an integrated framework to assess the moderating effect of personalization on technology acceptance. The findings of the research expand the existing literature on news applications and provide foundation for future research studies in the area of mobile news apps.

A two-stage structural equation modeling-neural network approach for understanding and predicting the determinants of m-government service adoption

2019 ◽  
Vol 21 (4) ◽  
pp. 419-438 ◽  
Author(s):  
Shamim Talukder ◽  
Raymond Chiong ◽  
Sandeep Dhakal ◽  
Golam Sorwar ◽  
Yukun Bao
Keyword(s):  
Neural Network ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Government Service ◽  
Content Type ◽  
Service Adoption ◽  
Government Services ◽  
Performance Expectancy ◽  
And Performance

Purpose Despite the widespread use of mobile government (m-government) services in developed countries, the adoption and acceptance of m-government services among citizens in developing countries is relatively low. The purpose of this study is to explore the most critical determinants of acceptance and use of m-government services in a developing country context. Design/methodology/approach The unified theory of acceptance and use of technology (UTAUT) extended with perceived mobility and mobile communication services (MCS) was used as the theoretical framework. Data was collected from 216 m-government users across Bangladesh and analyzed in two stages. First, structural equation modeling (SEM) was used to identify significant determinants affecting users' acceptance of m-government services. In the second stage, a neural network model was used to validate SEM results and determine the relative importance of the determinants of acceptance of m-government services. Findings The results show that facilitating conditions and performance expectancy are the two important precedents of behavioral intention to use m-government services, and performance expectancy mediates the relationship between MCS, mobility and the intention to use m-government services. Research limitations/implications Academically, this study extended and validated the underlying concept of UTAUT to capture the adoption behavior of individuals in a different cultural context. In particular, MCS might be the most critical antecedent towards mobile application studies. From a practical perspective, this study may provide valuable guidelines to government policymakers and system developers towards the development and effective implementation of m-government systems. Originality/value This study has contributed to the existing, but limited, literature on m-government service adoption in the context of a developing country. The predictive modeling approach is an innovative approach in the field of technology adoption.

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