Importance-performance Matrix Analysis Research Articles

THE EFFECT OF USERS’ BEHAVIORAL INTENTION ON GAMIFICATION AUGMENTED REALITY IN STEM (GAR-STEM) EDUCATION

As people attach increasing importance to the learning environment and design of teaching materials in STEM, how to design teaching materials that enable students to seamlessly integrate the learning of scientific investigation, engineering design, mathematical reasoning, and technical skills has become increasingly important. The purpose of this research was to explore the behavioral intention of GAR-STEM teaching application users. The results showed that the best predictor of practicability, entertainment, and media interactivity for intention towards GAR-STEM app design was usage attitude (R2= 0.547), followed by intent to use (R2 = 0.528), practicability (R2 = 0.408), and entertainment (R2 = 0.186). The proposed model explained 52.8% of the variance in behavioral intention. The overall findings suggested that usage attitude and intent to use may augment its function as a key factor for the procedural intention toward GAR-STEM app design. Keywords: augmented reality, gamification apps, importance-performance matrix analysis, STEM education.

Modeling the Pathways of Knowledge Management Towards Social and Economic Outcomes of Health Organizations.

Despite the increasing emphasis placed on knowledge management (KM) by the business sector and the common belief that creating, acquiring, sharing, and the use of knowledge enable individuals, teams, and communities to achieve superior performance, within the healthcare context, there is still room from improvements from both the theoretical and empirical perspectives. The purpose of this paper is to outline the contribution of KM process to the social- and economic-related outcomes in the context of health organizations. Given the theoretical approach on the considered concepts and their relationships, a conceptual model and seven research hypotheses were proposed. The empirical data were provided by a cross-sectional investigation including 459 medical and nonmedical employees of Romanian heath organizations, selected by a mixed method sampling procedure. A partial least squares structural equation modeling (PLS-SEM) approach was selected to provide information on the relevance and significance of the first- and second-order constructs, test the hypotheses, and conduct an importance performance matrix analysis. The PLS-SEM estimation showed positive and significant relationships between KM process and quality of healthcare, and organizational-level social and economic outcomes. Moreover, the research results provided evidences for the complex complementary mediation of the quality of healthcare and social-related outcomes on the relationships between KM process and social and economic outcomes. The theoretical and managerial implications are discussed and suggestions for future research are provided at the end of the paper.

Integration of unified theory of acceptance and use of technology in internet banking adoption setting: Evidence from Pakistan

The banking sector has evolved in information technology for their internal and external business operations. In effect, user acceptance of internet banking is considered as one of the most fundamental issue in banking sector. In order to identify which factors affect user intention to adopt internet banking, this study develops an amalgamated model based on technology and social psychological literature. The research model was empirically tested using 398 responses from customers of commercial banks. Data was analyzed using structural equation modeling (SEM). The results of this study provided theoretical and empirical support for newly developed integrated model. Importance performance matrix analysis (IPMA) revealed that assurance is the most influential factor among all others to determine user's intention to adopt internet banking. These findings provide valuable insight to marketers and managers to understand customer behavior towards adoption of technology, especially in emerging e-payment domain. To the best of our knowledge, this is the first study that investigates internet banking adoption issues with integrated technology model (UTAUT & E-SQ) in South Asia. Finally the study calls for researchers to use current integrated model in other e-commerce domains such as online shopping websites to establish the external validity of the model.

A Sustainability Innovation Experiential Learning Model for Virtual Reality Chemistry Laboratory: An Empirical Study with PLS-SEM and IPMA

This study focuses on serious virtual reality games, and how users can increase their understanding of the sustainable innovation learning (SIL) model and their familiarity with sustainable development strategies. “Users” of serious games consists of all possible target groups that are interested in attaining knowledge of sustainability through the use of games that are designed for a purpose beyond entertainment, in this case, for sustainable education. This research investigates the sustainable innovation experiential learning model by using a virtual chemistry laboratory to affect academic achievement. A questionnaire was completed by students who had used the virtual lab, and structural equation modeling (SEM) was applied for analysis. Importance-performance matrix analysis (IPMA) was able to help expand the basic partial least square (PLS)-SEM result with the fraction. The results show that experiential learning significantly affects learning motivation and academic achievement. Cognitive load and self-efficacy significantly affect learning motivation. Involvement significantly affects academic achievement. The virtual chemistry laboratory significantly affects academic achievement. Students who used the sustainability innovation experiential learning model obtained a better understanding of the chemical concepts. Moreover, a virtual lab promotes students’ motivation in regard to chemistry.

Integration of expectation confirmation theory and self-determination theory in internet banking continuance intention

PurposeThe expansion of information technology (IT) has become a great challenge in the business world today. Benefits from IT investment are only realized through sustained usage, rather than initial acceptance. Therefore, designing strategies continuously attracting user retention is the most critical and general question in IT global market. This paper aims to develop an integrated model that combines two well-known theories expectation confirmation theory (ECT) and self-determination theory (SDT) to determine customer’s continuance intention toward use internet banking.Design/methodology/approachA total number of 398 customers of commercial banks participated in this research. The research model was empirically tested using structural equation modeling.FindingsThe findings reveal that both ECT and SDT have significant influence in a customer’s continuance usage intention. The integrated model has good explanatory power (76.3%) to predict customer’s continuance intention toward use of internet banking. Additionally, importance performance matrix analysis indicates that intrinsic regulation and customer’s satisfaction are the most important factors to determine internet banking user’s continuance intention.Practical implicationInternet banking users will be intrinsically motivated only for those activities that generate intrinsic interest for them, activities that have the charm of novelty, challenge or aesthetic significance. Thus, understanding banking customer intrinsic values should be a priority for managers and policymakers. Theoretically, integration of two well-known theories, ECT and SDT, provide basis for further refinement of technology continuance model in emerging e-payment domain.Originality/valueThis study is different from several traditional studies that had investigated initial acceptance of internet banking. In contrast, this study provides a comprehensive analysis of customer’s behavior in continuance intention context with technology (ECT) and motivational factors (SDT).

Importance-Performance Matrix Analysis of the Researcher’s Competence in the Formation of University-Industry Collaboration Using Smart PLS

This study empirically identified and investigated the importance and performance of researcher’s competence which serves as crucial stimuli in initiating university-industry collaborative activities in Malaysian research universities using Importance-Performance Matrix Analysis (IPMA). The findings are endorsed by the IPMA that the importance and performance of domain knowledge are high in contributing to sustainability entrepreneurship thus lead to the university-industry collaboration formation. It is also found that social capital and market knowledge are important but the performance of these areas required attention from the management to further enhance. Unexpectedly, it is suggested that the management should pay less attention to researcher reputation as this is the least priority area for improvement as demonstrated by the results generated by the IPMA. Essentially, the findings contribute to the benefit of the university leaders to understand the diversity of competence possessed by the academic researchers as valuable resources in spotting and seizing a business opportunity.

The Role of Vision, Mission, Objective and Strategic Choice on the Quality of Service Provided to Citizens Jenin Municipality in Palestine

This study aims to investigate the role of vision, mission, objectives and strategic choice on the quality of service provided to citizens Jenin Municipality case study. The survey was administered towards employees of Jenin Municipality. Structural equation modeling (SEM) was employed to inspect both the hypothesis and coefficient relationship between the concepts and their implication. The results of this study revealed that vision, mission, objectives and strategic choice have significant influence on service quality. The importance performance matrix analysis (IPMA) analysis revealed that strategic choice is the most important factor among all other factors in order to measure service quality. In conclusion, administrative suggestions, boundaries and future research guidelines have been considered.

Does gamified elements influence on user’s intention to adopt and intention to recommend internet banking?

Purpose Understanding the main determinants of internet banking is important for banks and users. Although several prior research projects have focused on the factors that impact on adoption of technology, there is a limited empirical work which simultaneously captures technology-specific factors (PE, EE, WD, GAM) and customer-specific factors (GSC, INTRC) that help customers to adopt internet banking. Thus, the purpose of this paper is to verify how these factors influence individual behavior and motivate them to adopt new technology. The authors advance the body of knowledge on this subject by proposing moderating relationship of gamification between user’s intention to adopt and intention to recommend internet banking in social network. Design/methodology/approach To test the model the authors developed a quantitative study involving 398 internet users from five commercial banks. Data were collected in four weeks beginning of September 2017 from three large cities of Pakistan using convenience sampling approach. The theoretical model was tested using structural equation modeling (SEM). Findings The results indicate that intention to adopt internet banking is positively affected by performance expectancy, effort expectancy, website design, website characteristics and general self-confidence. Findings of SEM showed that approximately 72 percent of the variance in customer’s intention to adopt internet banking was accounted by predictors. Moderating effect of gamification suggested that the positive relationship between customer’s intention to adopt and customer’s intention to recommend internet banking will be stronger when gamification is higher. Importance performance matrix analysis (IPMA) suggested that among all other variables general self-confidence is the most important construct as it has the highest importance value in IPMA. Practical implications This study provides insightful guideline to practitioners, web designers and marketing professional that they should focus on both technology perspective and customer-specific factors to boost the confidence of internet banking users, while for researchers this study provides a basis for further development of technology adoption models in e-commerce domain. Originality/value This study contributes to the body of knowledge by adding game elements in technology perspective model and augments the e-commerce literature in the internet banking adoption context. To the date, this study is the first in its nature that investigates both technology-specific factors and customer-specific factors altogether to see the users influence toward technology adoption.

Identifying priority antecedents of educational data mining acceptance using importance-performance matrix analysis

Previous studies on educational data mining (EDM) acceptance were focused on antecedents that were adopted from various models and theories. However, the ways in which such antecedents became the most important tools for educational improvement have not been researched in detail. This study aims to identify the priority antecedents of EDM acceptance, particularly among undergraduate students since they are the most affected by this technology. Therefore, six antecedents with 11 variables have been formulated based on positive and negative readiness acquired from the technology readiness index (TRI). Meanwhile, cognition, emotion, internal control belief, and external control belief were obtained from the technology acceptance model 3 (TAM3). The Importance-Performance Matrix Analysis (IPMA) was used to identify priority antecedents of EDM acceptance, which was run using the SmartPLS 3.0 software. The findings revealed that perceived usefulness (PU) is the most important antecedent, followed by perceived ease of use (PEOU), and optimism (OPT). This study contributes to the literature by offering new insights on the field of EDM and extending existing knowledge on how cognition, positive readiness, negative readiness, emotion, internal control belief, and external control belief were combined for identifying priority antecedents of EDM acceptance.

Understanding organizational change implementation with integration of self-determination theory and knowledge management strategies: The mediating role of employee readiness to change

Expanding competitive business markets, restructuring, rightsizing, privatisation and government legislation are increasing the pressure for organisation change (OC) to stay alive. Therefore, dynamic organisations need to focus on fostering employee motivation and knowledge management strategies to implement successful organisational change. We advance the body of knowledge on this subject by proposing a motivational research model that combines two well-known theories: self-determination theory and knowledge management strategy. The research model was empirically tested using 350 responses collected from government employees of Saudi Arabia. Data was analysed using the structural equation modelling (SEM). Findings revealed that newly developed integrated model had significant influence on employee readiness and explained 59.5% variance in employee readiness to change. The importance performance matrix analysis (IPMA) suggested that manager and policy makers should pay attention on personalisation knowledge and employee readiness to change in order to bring successful organisational change implementation.

Green supply chain management: impact on environmental performance and firm competitiveness

Unrestrained industrialisation resulting in environmental pollution has mobilised the unstinting endeavours of scientist, researchers, policy makers and ecologist in a quest to rapidly unearth solutions to mitigate further environmental deterioration. One promising ongoing development is green supply chain management (GSCM), which promises a reduction of pollution and waste in manufacturing. GSCM achieves this through the mechanism of improving manufacturing efficiency, by reducing costs, enhancing product quality and improving product delivery. This study applies the natural resource-based view, and quantitatively examines the impact of the implementation of GSCM on firm environmental performance, and firm competitiveness. Data was collected from 122 sampled firms, analysed, and evaluated in two ways. Firstly, using partial least squared-structured equation modelling (PLS-SEM), results indicate that 'green procurement', and 'green supplier and customer collaboration', have a significant positive relationship with both firm environmental performance, and, firm competitiveness. Secondly, using importance-performance matrix analysis (IPMA), both 'green procurement' and 'green supplier and customer collaboration' are mapped in the high in importance/high-performance quadrant. The practical recommendations are for organisations to prioritise efforts and resources towards 'green procurement' and 'green supplier and customer collaboration' in order to maximise the return on 'green' investment.

Green supply chain management: impact on environmental performance and firm competitiveness

Unrestrained industrialisation resulting in environmental pollution has mobilised the unstinting endeavours of scientist, researchers, policy makers and ecologist in a quest to rapidly unearth solutions to mitigate further environmental deterioration. One promising ongoing development is green supply chain management (GSCM), which promises a reduction of pollution and waste in manufacturing. GSCM achieves this through the mechanism of improving manufacturing efficiency, by reducing costs, enhancing product quality and improving product delivery. This study applies the natural resource-based view, and quantitatively examines the impact of the implementation of GSCM on firm environmental performance, and firm competitiveness. Data was collected from 122 sampled firms, analysed, and evaluated in two ways. Firstly, using partial least squared-structured equation modelling (PLS-SEM), results indicate that 'green procurement', and 'green supplier and customer collaboration', have a significant positive relationship with both firm environmental performance, and, firm competitiveness. Secondly, using importance-performance matrix analysis (IPMA), both 'green procurement' and 'green supplier and customer collaboration' are mapped in the high in importance/high-performance quadrant. The practical recommendations are for organisations to prioritise efforts and resources towards 'green procurement' and 'green supplier and customer collaboration' in order to maximise the return on 'green' investment.

Dimensions of Social Capital and Innovation Capabilities of Firms: The Performance of Information Technology as a Mediator

This paper empirically inquire the relation of social capital dimensions (relational social capital, structural social capital, and cognitive social capital), organization innovation capabilities, and the performance of information technology (IT) as a mediator in the said relationships. A total of 263 workers of different management cadres from software SMEs (Zhongguancun Software Park, Beijing, China) were randomly selected. However, 143 respondents submitted the complete response. Thus, the response rate was 54%. For the empirical investigation, the present paper uses Partial Least Squares, Structural Equation Modeling (PLS-SEM) and Importance-Performance Matrix Analysis (IPMA) techniques to analyze the survey data. The direct and indirect relationship between dimensions of social capital and organizational innovation capabilities is significant. However, IT generates a partial mediation effect. IPMA highlights the importance of relational and structural social capital to innovation capabilities, however, IT is indicated as the key driver that trigger the effect of social capital on organization innovation capabilities. Future studies guidelines and limitations are explained at the end of this paper.

The role of UTAUT, DOI, perceived technology security and game elements in internet banking adoption

PurposeThe increasing innovation and urgent need of up-to-date and convenient information systems have gained high importance in financial sector. Several banks have deployed internet banking in order to reduce cost while improving customer services. Therefore, the growth of internet banking is limited and in many cases fallen short of expectations. The purpose of this paper is to develop an integrated model that combines technology, innovative and environmental factors altogether in order to understand customer’s intention to adopt, and intention to recommend internet banking in social networks.Design/methodology/approachIn all, 398 valid responses were collected from customers of commercial banks, using convenience sampling approach. Data were analyzed using the structural equation modeling.FindingsThe findings show that integrated model has good explanatory power (78.3 percent) to predict customer’s intention to adopt internet banking. Findings also revealed that the interaction effect of gamification between user’s intention to adopt and user’s intention to recommend internet banking will be stronger when gamification effect is higher. Importance performance matrix analysis (IPMA) revealed that innovativeness and perceived technology security were the most important factors in order to determine user’s intention with regard to adoption of internet banking.Practical implicationsFor policy-makers, it is suggested that they should focus on innovative characteristics and must ensure the possible environment for carrying out internet banking transaction. Advertising about new technology with adequate information may produce positive influence on user’s intention. Enjoyable internet banking website with reward system will help to improve user’s intention to adopt and intention to recommend internet banking with others, thus developers should introduce game features on internet banking website.Originality/valueThis study provides basis for further refinement of individual technology acceptance models and enrich the e-commerce literature adding innovative and game elements in interne banking adoption context. Additionally, the proposed model makes an important contribution in emerging e-commerce literature especially in the context of innovative and gamified internet banking.

Factors predicting career choice among Malaysian students in skills-based training institutions

This study examines the relationship between career interest, knowledge, adaptability and maturity in predicting career choice among 720 students in the Malaysian Skills Certification System. Career interest, knowledge and adaptability were found to be positively related to career choice, while career maturity was not significantly related to career choice. The career choice model was observed to be sufficiently solid and flexible to incorporate and measure the five constructs (career choice, interest, knowledge, maturity and adaptability). Importance-performance matrix analysis indicates that career adaptability is the most important factor in students’ career choices, albeit with the lowest mean scores.

A new insight into alumni satisfaction model for Islamic higher education institutions (IHEI)

Purpose The purpose of this study is to explore and decompose a satisfaction model using alumni’s perspective for Islamic-based higher education institutions (IHEI) with the antecedent of perceived quality and value and the consequence of loyalty. Design/methodology/approach A study was used, using 44-item, a ten-point Likert-scale questionnaire administered to 360 alumni from various classes started from the 1970s till 2000s. Theoretical-based, national qualification framework of Indonesian higher education and management-based considerations were involved in developing a survey. Data were analyzed using partial least square-structural equation model and decomposed into strategic management map using importance-performance matrix analysis. Findings The most important determinants of alumni satisfaction and loyalty in IHEI is the IHEI’s ability to develop career capability through enriching knowledge. Moreover, the presence of good environment and Islamic value embodiment supporting learning programs on campus is the most significant trigger for the knowledge development. Research limitations/implications The results were generated from a specific department. Additional studies are needed to test if the results are not department (institution)-specific. Practical implications This study provides strategic directions for management to improve the critical aspects of the system by providing the inputs to the extent to which the service quality delivered may contribute to end-customers’ satisfaction. Originality/value It contributes to the literature on satisfaction and service quality issues by incorporating ideological aspect, by investigating the feasible model of customer satisfaction in the perspective of alumni for IHEI.

IDENTIFYING IMPORTANCE-PERFORMANCE MATRIX ANALYSIS (IPMA) OF INTELLECTUAL CAPITAL AND ISLAMIC WORK ETHICS IN MALAYSIAN SMES

The creation of intangible assets such as intellectual capital and Islamic ethics are crucial to cope with firm competitiveness issues. Five components of intellectual capital (human capital, organizational capital, relational capital, spiritual capital and technological capital) and Islamic work ethics were identified to model their impact on SME business performance in Malaysia. In doing so, s urvey questions from previous studies were adopted and customized to collect data. The sample of 445 SME entrepreneurs was utilized and the data were analyzed using SmartPLS 3.2.6. The results of the study revealed that human capital, organizational capital, technological capital and Islamic work ethics significantly influenced business performance. Then, this study explored the use of the Importance-Performance matrix analysis to identify priority factors that can be enhanced to increase business performance.

Cloud Computing Fitness for E-Government Implementation: Importance-Performance Analysis

The means through which governments deliver services and the way they operate may be considerably enhanced through cloud computing. It can help to address e-government implementation challenges and revolutionize e-government systems in terms of cost savings and the professional use of resources. The aim of this paper is to analyze the importance and performance of the factors that influence the fitness of cloud computing for e-government implementation. This paper integrates the task technology fit model with the diffusion of innovation theory to address this issue. Yemeni public institutions were identified as sources for data collection and 292 information technology employees participated as sample respondents for a structured questionnaire. Security, compatibility, relative advantage, and tasks were the variables found to affect the fitness of cloud computing for e-government activities. However, no impact was seen from the standpoints of trialability and complexity of the technology. In terms of assessing the fitness of cloud computing for e-government services, a greater understanding among policy formulators was sought through the importance-performance matrix analysis (IPMA). The results of IPMA can help identifying areas for strategic focus to assess cloud computing as an alternative technology to implement e-government services.

An investigation of the relationship between workplace practices and firm performance: evidence from hotel industry, China

Sustainable success and firm performance (FP) in the hotel industry highly depends on customer loyalty and workplace practices. However, the role of information technology (IT) in workplace practice's effectiveness and FP is not much investigated. The objective of the present study is to investigate the relationship between workplace practices [low transaction cost (LTC), tangible and intangible service (TIS), and customer oriented approach (COA)] and FP in the hotel industry, China, and mediating role of IT. Through convenience sampling technique, out of 280, 192 workers returned complete and properly filled questionnaires. Partial least squares, structural equation modelling approach is used. The findings confirm that workplace practices (LTC, TIS, and COA) have a significant relationship with FP and IT partially mediates this relationship. Importance-performance matrix analysis highlights the 'COA' as a most important practice to enhance the FP. Limitations and future research directions are discussed in the last section of the study.

Beyond the equal-weight framework of the Social Progress Index

Purpose Although the Social Progress Index offers a thorough overview of the top-ranked countries with a highly developed social performance, it assigns the same weight to all component scores, implying that each component has identical and independent contribution to the SPI. By removing these flawed assumptions, the purpose of this paper is to examine the causal relationships among component scores and identify the critical components for reform priorities. Design/methodology/approach The authors propose an alternative approach to exploring the causal relationships and prioritizing the underlying components of the SPI. The four-step methodology comprises cluster analysis, data mining, partial least square path modeling, and importance-performance matrix analysis. Findings The authors find evidence of causal interrelations between the 12 components of the SPI. To accelerate social progress, the authors suggest that policy makers should allocate resources in order of priority to personal freedom and choice, personal rights, access to advanced education, water and sanitation, access to information and communications, tolerance and inclusion, personal safety, shelter, ecosystem sustainability, nutrition and basic medical care, health and wellness, and, finally, access to basic knowledge. Practical implications Policy makers in government, business, and civil society should become aware of causal relationships among the 12 components of the SPI and select an appropriate methodology to prioritize areas where social improvement is most needed. Originality/value Allowing for unequal weighting and causal relationships between component scores of the SPI, the authors’ methodology is the first attempt to offer a concrete way to identify which areas of social progress should constitute priorities for policy reforms.