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The main objectives of this study are to (1) explore underlying components and attributes of travel applications that influence traveler usage intention and (2) investigate which contents should be prioritized to increase the efficiency of travel apps.

This study uses importance–performance map analysis (IPMA) with an innovative approach (i.e. generalized structured component analysis [GSCA]) to identify components and attributes that have relatively high and low significance for the target construct (i.e. travel app's usage intention).

An integrated model influenced by three components (i.e. entertainment, travel review and medical and emergency information is proposed to have an impact on travelers' intention to use travel apps). The IPMA results indicate that restaurant and shopping receive the utmost emphasis from Thai domestic tourists who use travel apps, and sports and attraction are regarded as less critical attributes.

The app content scales identified in this study can be used as a basic framework for app developers, service providers and tourism authorities to design a travel app. The IPMA results also help concerned practitioners to make decisions on which contents/attributes should be incorporated and improved.

This study implements IPMA using a GSCA estimator to present the standard results reporting on the path coefficients of each of the attributes of travel app services. The results not only contribute to the improvement of app features and services, but also suggest an innovative approach for generating pertinent IPMA results with GSCA, thus contributing to the theoretical and methodological advancement in hospitality and tourism areas.

The paper provides a step-by-step guide in the guise of a roadmap for service improvement initiatives using importance performance map analysis (IPMA).

To empirically illustrate how IPMA can be applied to any service industry, three sectors are considered; sports and fitness (study A), hospitality (study B) and higher education (study C). Following the proper selection of measuring instruments and their evaluation using structural equation modeling-partial least squares (Smart-PLS), IPMA is applied to identify those attributes having strong total effects (high importance) over the targeted construct (satisfaction) but which also have low average latent variable scores (low performance).

For sports and fitness (study A), the physical aspects and programme quality require managerial attention. For the hospitability sector (study B), it is service commitment, interaction quality and internal sense of happiness. Whereas for higher education (study C), it is administrative quality as well as the element of transformative quality, namely the university’s role in adding to its students’ emotional stability, which needs the attention of the top management.

This study provides researchers and practitioners with a roadmap for applying PLS-SEM and IPMA for continuous service quality improvement. The roadmap extends upon Ringle and Sarstedt’s (2016) work. It highlights critical decisions that need to be considered in the pre-analytical stages of the IPMA application, i.e. at the research design phase in selecting the most appropriate service quality measurement model specifications. It not only contributes to the existing body of knowledge by providing empirical evidence to advance theory development in the quality management field but also has implications for the practitioners in any service sector on where to focus their attention for an effective service improvement.

The purpose of this study is to verify the existence of loyalty among fast-food customers and its dependence on fast-food service quality, comprising service quality, food quality and store atmosphere. This study also examines the direct and mediating role of constructs such as satisfaction and trust in creating loyalty in fast-food restaurants (FFRs).

A sample of 456 fast-food customers was collected using a structured questionnaire. This paper uses partial least squares path modeling to test and validate the study’s research model and hypotheses.

The results suggest that fast-food service quality has a positive influence on satisfaction, trust and loyalty among fast-food customers. The findings also reveal a mediating effect of trust (partial mediation), increasing the effect of satisfaction on loyalty.

This study reinforces the importance of considering the attributes that influence customer loyalty. Specifically, food quality is considered key to increasing loyalty among FFR customers.

This study proposes an integrated model influenced by three factors that contribute to fast-food service quality (i.e. food quality, service quality, atmosphere) along with classical variables used in the marketing literature (i.e. satisfaction, trust) in the creation of FFR loyalty. This study also follows modern procedures in PLS-SEM by challenging conventional methods.

本论文旨在验证快餐消费者的忠诚度及其与快餐质量之间的关系, 其中质量包括服务质量、食物质量、和饭店氛围。本论文还旨在检验满意度和信任度在快餐饭店（FFRs）的消费者忠诚中的直接和间接作用。

本论文采用结构问卷采样形式, 456位快餐消费者为问卷样本。本论文采用偏最小二乘回归（PLS）的路径建模数据分析方法来分析和验证模型及假设。

快餐服务质量对于快餐消费者的满意度、信任度、和忠诚度有着积极促进作用。此外, 本论文发现信任度对于增加满意度对忠诚度的影响有着中介调节作用（部分中介调节）。

本论文重新提出了影响消费者忠诚度的各种因素。具体是, 食物质量是增加FFR消费者忠诚度的重中之重。

本论文提出一体化模型包括三种快餐服务衡量因子（食物质量、服务质量、环境）以及营销文献中常用变量（满意度、信任度）, 来检验FFR忠诚度。本论文还挑战传统研究方法, 采用PLS-SEM现代程序来进行分析研究。

质量、满意度、信任度、忠诚度、快餐饭店（FFRs）、PLS-SEM

This paper aims to propose a model for measuring the performance of knowledge management (KM) projects in enterprises. No such model has been proposed in the literature thus far. The activities, factors and outcomes of KM are the main constructs of the model. Their operationalization and interactions are investigated.

A survey was conducted of 120 respondents from SME firms in Morocco. A structural equation modeling (SEM) technique called partial least squares (PLS) was used to assess the validity of the constructs and verify the hypotheses. A performance index for KM projects was derived from the model constructs.

The results support the model designed for KM activities and related interactions. The effects of KM activities on its outcomes are significant as well. The results also confirm that KM factors are predictors of KM activities and that the effects of these are significant. Furthermore, a performance importance analysis (importance performance map analysis [IPMA]) was performed on the data to expand the results of the PLS-SEM by identifying under-performing KM drivers that require managerial action.

This paper is one of the first to propose a generic performance measurement model for KM projects. Additionally, it is a pioneering study in the use of IPMA for KM performance measurement.

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.

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.

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.

The results were generated from a specific department. Additional studies are needed to test if the results are not department (institution)-specific.

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.

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.

The biggest challenge in the Indian life insurance industry is mis-selling and unfair business practices. The purpose of this paper is to explore the effect of relational selling behaviour on investor decision making in life insurance market in India. This study also aims to elucidate the mediating role of trust in predicting the purchase of life insurance policies by investors.

A cross-sectional survey was carried out to collect quantitative data using a validated structured questionnaire. A total of 813 policyholders of life insurance companies operating in Karnataka, South India, were chosen. The data were analysed using the partial least square method of structural equation modeling.

The process of investors’ life insurance buying decision is directly influenced by interaction intensity, co-operative intentions of agents, sharing of overt and covert policy information, and indirectly through the partial mediation of trust. Also, trust fully mediates the effect of agent disclosure and personal rapport on decision making by investors. The importance‒performance map analysis highlights the pivotal role of overt policy information in investors’ decision making.

The financial mis-selling in India can be curtailed significantly if the insurance companies insist on responsible and relational selling by their sales agents. The companies would also strategically gain by investing in trust-building programs that enhance quality interactions and honest disclosure of overt and covert policy information, unpretentious intention to co-operate in the policy selection, and emphasize emotional connection and personal rapport with customers. These genuine actions and behavioural manifestations would certainly facilitate appropriate decision making by the investors.

There is a paucity of research in India which explicates the role of relational selling behaviour in insurers’ decision making. As such, this article expands the scope of relational marketing research in insurance by assessing the relational determinants of investor decisions as well as the role of trust as the mediator in influencing insurance decision making.

The study aims to assess the relationship between cultural capital, human capital, psychological capital, social capital and perceived employability of management graduates.

The data was analysed through variance based partial least square (PLS) structural equation modelling on 505 management students by an online questionnaire. The predictive relevance of perceived employability was investigated with PLS predict approach. Further, importance-performance map analysis (IPMA) was applied to assess important and performing dimensions of perceived employability.

The results indicate that social capital was found to be the strongest predictor of graduates' perceived employability. The proposed conceptual model was found to have a moderate to high predictive relevance. IPMA results suggested that investment in psychological capital leads to higher return in perceived employability of management graduates.

Data was collected using purposive sampling and confined to university students only.

Findings of the study provide empirical inferences in support of human capital, social capital and social cognitive theory. Practical implications offer important inputs to policy makers, higher educational institutes, career counsellors and universities.

This study provides novel inputs by a comprehensive model of graduate capital to determine and predict perceived employability of graduates in emerging economy like India.

The purpose of this paper is to emphasize the underlying mechanism through which firms can achieve supply chain agility and augment business performance from the vendor’s perspective.

Drawing on dynamic capability view and contingency theory, the study conceptualizes a moderated mediation model to investigate the underlying influence of process integration (PI), supply flexibility and product-related complexity on supply chain agility and the subsequent effect of supply chain agility on firm’s business performance. Survey data from a sample of 148 firms, in the garment manufacturing industry, in Pakistan were analyzed using partial least square methods.

The results revealed that supply flexibility (i.e. volume and mix) mediates the effect of PI on supply chain agility. Supply chain agility, in turn, influences a firm’s business performance. Furthermore, the competence‒capability framework is not consistent across the varying degrees of product complexity such as product complexity hinders the effect of supply flexibility on supply chain agility, whereas it amplifies the impact of PI on supply chain agility. The conditional indirect effects suggest that the indirect effect of PI on supply chain agility through supply flexibility becomes stronger when product complexity is high.

The study is novel in the context of an emerging economy to educate fashion vendors to tune their competencies and capabilities to regain the market share in the global market place.

The interpretation of the importance/performance map is based on an assumption of independence between importance and performance but many studies question the validity of this assumption. The aim of this research is to develop a new typology for job satisfaction attributes as well as a new importance/performance map that can be an aid for organizations when they prioritize their improvement actions based on a job satisfaction study.

A typology for possible relationships between importance and performance in job satisfaction studies is developed based on theoretical considerations. This typology is then applied and validated on approximately 10,000 responses from the European Employee Index 2002. Ultimately a new importance/performance map for priority setting in job satisfaction studies is developed based on the new typology for possible relationships between importance and performance.

The result of this analysis showed that the assumption of independence between the importance and performance is invalid in certain situations.

The subsets in the analysis are not all independent since a respondent may appear in more than one subset. This is a problem with the data generating process that to some extent might influence the analysis.

Profound impact on the way that the importance/performance map should be interpreted since non‐proportional attributes will move both vertically as well as horizontally in the traditional importance/performance map as performance changes.

This paper gives a theoretical explanation for the presence of non‐proportional satisfiers and develops a new importance/performance map that takes the presence of non‐proportional satisfiers into account.

Online learning has evolved into a necessary means of learning because of its capability to enhance the education quality with minimum resources and infrastructure. Nevertheless, while academics have studied the espousal and use of online learning in various settings, the effect of compatibility and transformational leadership (TL) still remains to be seen, with regards to the Yemeni context. The purpose of this paper is to forward the Delone and Mclean Information System (IS) success Model by integrating compatibility and TL constructs as precursors to user contentment and actual use for estimating performance of students.

The questionnaire technique was utilised for gathering primary data from 448 students in nine state-funded Yemeni universities. The six variables in the recommended framework were gauged utilising current scales. Data analysis was done by deploying structural equation modelling through SmartPLS 3.0.

The outcomes encompassed three key results: overall quality (data, system and service quality), compatibility and TL have a favourable effect on user satisfaction and actual use; actual use considerably estimates user satisfaction; and user satisfaction and actual use have a favourable effect on performance of students.

Because the research populace comprised students from nine state-funded universities, it did not include administrative and academic staff. Furthermore, as the study was cross-sectional, it studied the variables at a single point of time. Attaining experience in utilising online learning would transform the convictions of students, and this cannot be traced through a cross-sectional scrutiny. Moreover, the research relies upon self-testified measures for ascertaining the recommended research model. The reason behind this is that obtaining objective information regarding performance was not likely because of the privacy concern.

Despite the fact that Yemen is a low-income emerging nation with inadequate resources (World Development Indicators, 2017), it can capitalise on online-based learning that provides the advantage of excellent education and that too with limited supplies (Dokhan and Akkoyunlu, 2016; Yang et al., 2016). Additionally, online learning can enhance administration and communication, empower learning anywhere and anytime, and endorse fairness of education.

This study supplements the existing studies on information systems by blending overall quality, compatibility, TL, actual use and client satisfaction for estimating the effect of online learning among students from nine state-funded Yemeni universities. Moreover, the recommended model’s predictive prowess has a higher capability to elucidate and estimate the performance effect as against those acquired from few of the previous studies.