Importance-performance Map Analysis Research Articles

Measuring crowdfunding success for small and medium‐sized enterprises sustainable development: Insight from the social networking theory

AbstractWith little to no study on the effect of social networking theory on the success of a crowdfunding campaign in Africa, this study investigated some of the factors that influence the success of a crowdfunding campaign using Ghana as a case for a broader justification and generalization of findings that has been obtained in previous studies. This study identified four factors through an extensive literature review of the social networking theory. These are the number of social network handless of an entrepreneur, activeness of an entrepreneur on a social network, number of social network friends of an entrepreneur and the availability of project videos on an entrepreneur's social network. Data were then collected empirically from 462 respondents using a questionnaire. The data obtained were analyzed using the partial least square structural equation modeling. The results revealed that all the identified factors positively influence the success of a crowdfunding campaign. The study further proposes that fund seekers on the crowdfunding platform post their project information on weekends and evenings on weekdays since people pay special attention to information posted at these times. Also, the outcome of the importance performance map analysis disclosed that the number of social network handles of an entrepreneur is the most essential in terms of importance when seeking funds on the crowdfunding platform. This study provides valuable insight into how small and medium‐sized enterprises in Ghana and other stakeholders of crowdfunding platforms can use the concept of social networking theory to achieve funding success on crowdfunding platforms.

Consumers’ receptivity to mHealth technologies: a hybrid PLS–ANN approach

PurposeMobile health (mHealth) technologies, in particular, have been sought after and advocated as a means of dealing with the pandemic situation. Despite the obvious advantages of mHealth, which include monitoring and exchanging health information via mobile applications, mHealth adoption has yet to take off exponentially. Expanding on the unified theory of acceptance and use of technology (UTAUT) model, this study aims to better comprehend consumers’ receptivity to mHealth even after the pandemic has subsided.Design/methodology/approachThrough purposive sampling, data were collected from a sample of 345 mobile phone users and analysed using partial least squares structural equation modelling (PLS-SEM) and artificial neural networks (ANN) capture both linear and nonlinear relationships.FindingsEffort expectancy, performance expectancy, social influence, pandemic fear and trustworthiness positively influenced mHealth adoption intention, with the model demonstrating high predictive power from both the PLSpredict and ANN assessments.Research limitations/implicationsThe importance–performance map analysis (IPMA) results showed that social influence had great importance for mHealth uptake, but demonstrated low performance.Practical implicationsReferrals are an alternative that policymakers and mHealth service providers should think about to increase uptake. Overall, this study provides theoretical and practical insights that contribute to the advancement of digital healthcare, aligning with the pursuit of Sustainable Development Goal 3 (SDG 3) (good health and well-being).Originality/valueThis study has clarified both linear and nonlinear relationships among the factors influencing intentions to adopt mHealth. The findings from both PLS and ANN were juxtaposed, demonstrating consistent findings.

Factors Affecting Customer Satisfaction in the Retail Formats in Rupandehi

This paper aims to investigate the Factors Affecting Customer Experience in the Retail Formats In Rupandehi district of Nepal. Primary data have been collected through structured questionnaire using online method i.e. Google Forms out of 384 different retail format users district of Nepal. A descriptive Research and causal comparative design was used and sample was selected by purposive sampling method. Smart PLS 4 is used as a data analysis tool and various tests like descriptive analysis, Measurement Model Assessment, Convergent Validity and Discriminant Validity, Model Fit Assessment, Structural Model Assessment and Importance-Performance Map Analysis (IMPA) tests were conducted as analysis tool to assess the quantitative raw data. The study concludes that Price and Assortment has positive significant relationship with Customer satisfaction whereas social environment and Retail atmosphere has positive insignificant relationship with customer satisfaction.

Determinants Affecting Life Insurance Purchase Decision at Jhapa District

This paper aims to investigate the effect of determining factors like Customer Attitude, Insurance Awareness, Financial Literacy and Social Factor on purchase decision of life insurance policy in Jhapa district of Nepal. Primary data have been collected through structured questionnaire using online method i.e. Google Forms out of 384 life insurance policy holders resident of Jhapa district of Nepal. A descriptive Research and causal comparative design was used and sample was selected by purposive sampling method. Smart PLS 4 is used as a data analysis tool and various tests like descriptive analysis, Measurement Model Assessment, Convergent Validity and Discriminant Validity, Model Fit Assessment, Structural Model Assessment and Importance-Performance Map Analysis (IMPA) tests were conducted as analysis tool to assess the quantitative raw data. The study concludes that Customer Attitude, Financial Literacy, and Insurance Awareness has significant effect with the purchase decision of life insurance policy whereas Social Factor has no significant effect with the purchase decision of life insurance policy. Financial Literacy has the highest influence over purchase decision of life insurance. Thus, the marketers, policymakers and insurance companies must pay more attention in bringing more effective and fruitful programs to enhance the life insurance demand.

Customer-centric virtual reality applications adoption in the hospitality industry: quality-value-based adoption model

PurposeThe massive adoption of virtual reality (VR) applications has started since the COVID-19 pandemic, and until now, VR applications are still being used. However, there is limited research that analyses the consumer's perspective on the adoption of VR applications. Thus, this study discovers the adoption of VR applications in the hospitality sector by integrating the value-based adoption model (VAM) and VR quality.Design/methodology/approachThe data were gathered through a survey of 500 respondents and evaluated through the structural equation model-partial least squares (SEM-PLS).FindingsEmploying SEM-PLS and importance-performance map analysis (IPMA), the findings revealed that VR quality and perceived value are essential determinants in the adoption of VR applications in the hospitality industry.Practical implicationsPractically, this study encourages the hospitality industry to create and develop high-quality VR application technology to benefit visitors. Through this study, hospitality marketing managers, governments and others concerned with the hospitality industry’s future development can create effective ways to increase the adoption of VR applications in this industry.Originality/valueThis study offers novel perspectives into the theory and application of VR quality and VAM in the adoption of VR applications in the hospitality industry.

A study on driving factors for enhancing financial performance and customer-centricity through digital banking

Purpose This study aims to develop a customer-centric model based on an online customer experience (OCE) construct relating to e-loyalty, e-trust and e-satisfaction, resulting in improved Net Promoter Score for Indian digital banks. Design/methodology/approach This study used an online survey method to gather data from a sample of 485 digital banking users, from which usable questionnaires were obtained. The obtained data were subjected to thorough analysis using partial least squares structural equation modelling to further investigate the research hypotheses. Findings The main factors determining digital banks’ OCE were perceived customer centrality, perceived value and perceived usability. Additionally, relevant constructs were evaluated using importance-performance map analysis. Research limitations/implications This study used convenience sampling for the urban population using digital banking services; therefore, the outcome may be generalized to a limited extent. To further strengthen digital banking, it would be valuable to imitate studies in other countries. Originality/value There is a lack of research on digital banking and OCE in India; thus, this study will help rectify this issue while providing valuable insights. This study differs from others in that it examines the connections between online customer satisfaction, loyalty, trust and the bottom line of financial institutions using these factors as dependent variables instead of traditional measures.

Online customer experience in Indian digital banks impacting continuous intention usage: Generation Y and Z perspective

Purpose This study aims to conceptualise a customer-centric model based on an online customer experience (OCE) construct, mediated by e-loyalty (EL) and e-trust (ET), to improve the continuous usage intention (CUI) of Indian digital banks from Generation Y and Z perspectives. Design/methodology/approach This study used an online survey method to gather data from a sample of 466 digital banking users, from which usable questionnaires were obtained. The obtained data were subjected to thorough analysis using PLS-SEM to further study the research hypotheses. Findings The main factors that determine digital banks’ OCE are perceived enjoyment, e-service quality, information quality and e-convenience. Additionally, relevant constructs were evaluated using an importance-performance map analysis. Research limitations/implications This study used convenience sampling for the urban population using digital banking; therefore, the outcome may be generalised to a limited extent. It would be valuable to imitate studies in other countries to strengthen digital banking further. Originality/value There is a lack of research on digital banking and OCE in India; thus, this study helps rectify this issue while providing valuable insights. This study differs from others in that it examines the connections between OCE, EL, ET and the bottom line of financial institutions, using these factors as dependent variables instead of traditional measures.

A Structural Equation Model Study for Adoption of Internet of Things for the Growth of Manufacturing Industries in Australia

This research study delves into the integration of IoT within the Australian manufacturing sector, analyzing five key factors influencing adoption and drawing comparisons with Rogers' innovation theory. Its objectives encompass assessing how competitiveness, regulatory support, management support, manufacturing growth, and cost savings affect IoT adoption. Methodologically, the research journey includes defining the problem, conducting a thorough literature review, crafting a research proposal, executing pilot and main studies, validating findings, and ultimately composing the final thesis. Quantitative data obtained from a large pool of over 500 respondents shed light on the positive impacts of competitiveness, regulatory support, and cost savings on IoT adoption. Additionally, the study employs Importance-Performance Map Analysis (IPMA) to underscore the significance of management support in successful IoT implementation. Despite facing limitations such as common method bias and constraints on generalizability, the research underscores the transformative potential of IoT in enhancing operational efficiency and decision-making within Australian manufacturing. Overall, the study's findings confirm the significant influence of key factors on IoT adoption, affirming its potential to drive competitiveness, regulatory compliance, cost efficiency, and growth within the Australian manufacturing landscape.

Examining success factors for logistics outsourcing in Sub‐Saharan Africa

AbstractWith the rapid globalization of business activities, logistics has become incredibly complex and intricate. As such, managing logistics is more challenging than ever. One of the trendy solutions to deal with this challenge is logistics outsourcing. In this regard, Sub‐Saharan African firms are no exception. To help Sub‐Saharan African firms succeed in leveraging logistics outsourcing for their competitive differentiators, this article aims to investigate how the organizational capabilities of third‐party logistics service providers (3PLs) contribute to their users' logistics outsourcing success. Based on an empirical analysis of 211 food processing firms in Uganda, we found that the 3PLs' technological and innovation capabilities positively affected logistics outsourcing success. In contrast, the 3PLs' flexibility and integration capabilities had no bearing on the logistics outsourcing success. In particular, our importance–performance map analysis (IPMA) revealed that the 3PLs' technological capability was the most significant factor in logistics outsourcing success. The article also expounds on how the 3PLs' technical capability can bring logistics outsourcing success.

University or Personal Sustainability— What Shapes Sustainable Entrepreneurship Intentions of Students?

The intentions and behaviour of entrepreneurs have been well researched and explored and now the limelight has shifted to sustainable entrepreneurship. The present study aims to examine the personal and institutional sustainability inclination that may help students develop their intent for sustainable entrepreneurship. Quantitative analysis with partial least squares structural equation modelling (PLS-SEM) was performed with 422 samples collected from students at Indian universities. The model tested the first-order variables for university and personal sustainability and further the effect on the intentions to start sustainable entrepreneurship. The first-order variables of university sustainability are education on sustainability and campus sustainability and the students’ personal consumption profile and moral obligations for the first-order variables of personal sustainability. The findings indicated that the tendency towards sustainable entrepreneurship was more strongly influenced by personal than university sustainability inclination. Further, the results of the importance–performance map analysis (IPMA) highlighted the importance of personal sustainability as well as further advancements in ethical standards and campus sustainability to nurture students’ intentions for sustainable entrepreneurship. The findings of this study offer policymakers, researchers and higher education institutes insights to establish campuses that contribute to sustainability and reframe the educational curriculum to focus on students’ innate propensities to engage in sustainable endeavours. This article outlines the pioneering research effort into the personal and university sustainability inclination in consideration for shaping sustainable entrepreneurship intentions among students.

A consumer demands-resources model of engagement: Theoretical and managerial contributions from a cross-validated predictive ability test procedure

Despite the widespread economic and social interest in consumer engagement (CE) in do-it-yourself (DIY) or “making” activities, the construct remains underexplored in the literature. Integrating the theoretical frameworks of CE, the service-dominant logic, and conservation of resources theory, this study uses a mixed-methods approach to identify the resources that best predict CE in making activities. We conduct an exploratory qualitative study through 26 semi-structured interviews with consumers and professionals to refine our hypotheses. We then use a quantitative approach (N = 210) based on the latest advances in partial least squares structural equation modeling (PLS-SEM) to determine predictive validity. It thus offers an empirical application of the latest guidelines in this field. In particular, the study applies the new cross-validated predictive ability test (CVPAT) to test and compare several models. Combined with an importance-performance map analysis (IPMA), the CVPAT approach helps identify operational levers for decision-makers in the maker ecosystem.

Biometrics Authentication for E-payment

This study is designed to assess several key predictors of user intention to accept biometrics authentication for e-payment. To do so, a research model is constructed based on the prominent unified theory of acceptance and use of technology (UTAUT) framework. Further, the UTAUT model is expanded by integrating three prevalent constructs that are essential to accept biometrics authentication. As the principal analytical tools, structural equation modelling (SEM) and importance performance map analysis (IPMA) are employed. The study reveals significant effects of performance expectancy, effort expectancy, social influence, perceived risk and perceived trust on attitude. Moreover, attitude, facilitating conditions, and perceived trust play a substantial role in predicting user adoption intention to biometrics authentication in e-payment. The IPMA suggests that perceived trust and facilitating conditions fall into the critical zone, requiring special managerial considerations. This research has offered a comprehensive research model to explore users’ biometrics authentication adoption behaviour, particularly in the field of e-payment. This study assesses the initial adoption behaviour of biometrics authentication in e-payments; therefore, assessing users’ continuance usage behaviour of this technology can be a potential for future research

How does destination natural quality influence second homeowners’ life satisfaction: a mediation model and importance-performance map analysis

ABSTRACT This study examines the effects of destination natural quality, place attachment, and destination psychological ownership on the life satisfaction of individuals having a second home in a tourist destination. Survey data were collected from 304 second homeowners and analyzed using PLS-SEM and Importance Performance Map Analysis (IPMA). PLS-SEM results revealed that perceived destination natural quality positively influences second homeowners’ place attachment, and place attachment enhances destination psychological ownership. Place attachment and destination psychological ownership increase second homeowners’ life satisfaction, and destination psychological ownership mediates the relationship between place attachment and life satisfaction. IPMA results also proved that place attachment is of great importance and has high performance over life satisfaction. Destination natural quality has a lower level of importance yet a slightly higher performance over life satisfaction compared to place attachment. However, destination psychological ownership performs lower importance and performance than place attachment and destination natural quality.

How do family support factors influence college students’ online-startup thinking?

Purpose The purpose of this study is to present the relationship between family support factors and Chinese college students’ online-startup thinking on live streaming platforms. Considering China's specific online entrepreneurial environment, this paper divides Chinese college students’ online-startup thinking according to the liberal–conservative thinking theory. This study classifies family support factors based on the tangible–intangible resource division theory. Different tangible and intangible factors have different impacts on their online-startup thinking. Design/methodology/approach This study tests 588 samples based on the partial least squares path modelling and variance-based structural equation modelling. This study promotes importance-performance map analysis to explore additional findings of influencing factors and provide suitable suggestions for Chinese college students and related departments. Findings Tangible family support factors, such as labour resources support, and intangible family support factors, such as verbal encouragement, can positively enhance Chinese college students’ liberal thinking to online-startup and decrease their conservative thinking. Meanwhile, according to importance-performance map analysis results, verbal encouragement from the intangible unit instead of financial resource support from the tangible unit has a higher total effect and performance on Chinese college students’ liberal thinking and conservative thinking. Originality/value This study draws on psychology research based on Chinese college students’ unique entrepreneurial mentality. This paper divides Chinese college students’ thinking in online-startups into liberal thinking and conservative thinking based on the liberal–conservative thinking theory. Meanwhile, according to the feature of Chinese family support factors, this paper classifies various elements based on the tangible–intangible resource division theory, which is helpful for scholars to understand that the student perceptions of the value of family support are critical to the success of the online-startup.

Online fundraising for NPOs via email marketing – A critical success factors analysis in Germany, Austria, and Switzerland

AbstractThis study aims to empirically determine success factors in the email marketing as a sub-discipline of online fundraising of nonprofit organizations (NPOs). Hereby, it responds to the gap of knowledge as existing research has not in detail touched nonprofit email marketing. To explore success factors in NPOs’ email marketing, a detailed structural equation model, in which email marketing success acts as the final endogenous variable and the nine potential success factors function as formative latent exogenous variables, was developed. A quantitative survey was conducted with employees of NPOs from German-speaking countries. For data analysis, which was carried out with the software SmartPLS, 153 responses were utilized. Using aggregate and disaggregate analyses on the developed model, various critical success factors in NPOs’ email marketing could be empirically identified. Furthermore, an importance-performance map analysis allowed the identification of the most crucial measures for increasing success, as a low performance of the NPOs faces a high total effect on email marketing success. From the results of the importance-performance map analysis, it was possible to derive specific practice-relevant action recommendations regarding measures in which NPOs should prioritize an increase in performance. Therefore, in addition to its theoretical relevance, the study also has a strong practical value.

Does the gender of hospitality employees affect the definition of wages in Spain?

Abstract Analysing gender differences in key industries is one of today's priorities to achieve a more egalitarian society. In hospitality, the classic approach is through Mincerian regressions or wage decompositions. This paper addresses this issue through Partial Least Squares Structural Equation Modelling (PLS-SEM) and Importance-Performance Map Analysis (IPMA). The results confirm and measure the relations between Human Capital, Labour Conditions, Market, and Wages, and examine the relative importance and performance of each indicator in explaining Wages. Therefore, there are narrow gender differences, and measures are suggested. The main limitation lies in the design of the constructs. This article contributes to the literature by providing an alternative analysis.

Determinants of Intention towards Digital Transformation Adoption: Evidence from Vietnam’s Public Sector

Purpose: Drawing on familiar concepts such as inclusive leadership and organizational support theories, and the input-mediator-output-input model, this study aims to explore civil servants’ intention towards digital transformation adoption in the public sector of Vietnam. Method: This study takes the form of a case study of the Vietnam context and employs a quantitative method. A printed questionnaire was distributed to collect data from 892 civil servants. After excluding cases with missing data, 863 valid cases were used for data analysis. Primary data analysis was conducted using SPSS 20, Amos 20, and SMARTPLS version 4, which included descriptive statistics, testing the proposed model and hypotheses using the SEM approach, and conducting the importance-performance map analysis. Findings: The current study revealed that inclusive leadership, government support, and organisational support have both direct and indirect effects on the intention towards digital transformation adoption through the partial mediating role of organisational innovative climate. Moreover, the importance-performance map analysis revealed that while organisational support is the most important factor, it has the lowest performance. Originality: This study is pioneering in its use of the IMOI model to predict intentions towards technology adoption, particularly in the context of digital transformation, a new aspect in developing nations, including Vietnam. The study contributes to our understanding of digital transformation adoption in the public sector and will be of particular interest to government, policymakers, and service providers of new technology systems.

Promoting Economic Empowerment Through Effective Implementation and Linking Social Capital in Urban Agriculture Programs

Promoting Economic Empowerment Through Effective Implementation and Linking Social Capital in Urban Agriculture Programs

The influence of servicescape on behavioral intentions of customers in hospitals post the COVID-19 pandemic

PurposeBased on the stimuli-organism-response model and relationship marketing theory, the effect of different dimensions of Servicescape (Ambience, Cleanliness, Functionality, Spatial Layout, Employee Service Quality) on Customer Satisfaction and Behavioral Intention in hospitals during the COVID-19 pandemic are considered.Design/methodology/approachThe study takes a quantitative approach, applying structural equation model using partial least square structural equation modeling to test the hypotheses. A total of 360 responses were collected using questionnaires distributed to different individuals who visited private hospitals in the past two months in India.FindingsContradicting previous research, this study found that among servicescape dimensions, employee service quality had the maximum influence on customer satisfaction and cleanliness does not have any significant impact on customer satisfaction as hypothesized. Mediation results show that customer satisfaction has a partial mediation effect for all servicescape dimensions except ambience, as both direct and indirect effects are significant. Importance-performance map analysis was performed on the responses collected, and it was found that employee service quality is the most important dimension affecting servicescape, followed by functionality and spatial layout. Thus, health-care institutions should focus on these factors to keep their customers satisfied.Originality/valuePast studies have focused on the roles of servicescape and customer satisfaction separately. The authors have extended the literature by examining the combined effects of both servicescape and customer satisfaction. The findings from the study, therefore, help in developing a deeper understanding of the literature on the behavior intention relationship in the context of health care, as well as in service marketing.

A confirmatory factor analysis of the Iranian version of the interpersonal communication skills scale among healthcare professionals

BackgroundIdentifying healthcare professionals’ (HCPs) communication skills is crucial to improving patient outcomes. Iranian HCPs’ interpersonal communication skills (ICS) were validated using a culturally appropriate and indigenous scale.Materials and methodsIn November and December 2021, convenience sampling was used to collect data from 170 HCPs. Seven factors were covered by the questionnaire, which consisted of 30 items. In order to validate the scale, first- and second-order confirmatory factor analyses (CFA) were performed. Various indices were used during the CFA, including Goodness of Fit Index (GFI), Adjusted Goodness of Fit (AGFI), Comparative Fit Index (CFI), Normed Fit Index (NFI), Standardized Root Mean Square Residual (SRMR), and Root Mean Square Error of Approximation (RMSEA). The Fornell-Larcker Criterion was used to assess discriminant validity. We analyzed the data in Lisrel 8.8 and SmartPLS 3.2.8.ResultsAccording to the Q2-index obtained from the blindfold test, the model had 44% predictive power. First-order CFA results showed acceptable indices (χ2 = 767.17; DF = 375; CFI = 0.98; GFI = 0.82; AGFI = 0.80; NFI = 0.97; SRMR = 0.22; RMSEA = 0.068). Furthermore, the second-order measurement model demonstrated adequate and desirable fit indices (χ2 = 797.24; DF = 381; CFI = 0.98; GFI = 0.82; AGFI = 0.78; NFI = 0.97; SRMR = 0.059; RMSEA = 0.068). General and listening skills were ranked highest in the importance-performance map analysis (IPMA).ConclusionHCPs could benefit from this scale as it can assist them in developing ICS. It is recommended that skills training programs be replicated among different populations to evaluate their effectiveness.