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Many firms are investing in digital services to improve customer experiences. Virtual service agents, or “e-service agents” (“e-agents”) such as chatbots, are examples of these efforts. Chatbots are types of virtual-assistant software programs that interact with users through speech or text. This paper aims to investigate whether the perceived hedonic and utilitarian attributes of chatbots can influence customer satisfaction and, consequently, their relationships with brands.

Data were collected through a questionnaire-based survey among a sample of Italian consumers. A convenience sampling technique was used. Data were then analyzed through Partial Least Squares Structural Equation Modeling to provide a prediction-oriented model assessment. The findings were then complemented with an importance–performance map analysis (IPMA) to gain more detailed insights and actionable guidelines for managers.

The findings highlighted that the perceived hedonic and utilitarian attributes of chatbots positively influenced customer satisfaction and improved customer relationships with the brands. However, the IMPA highlighted that the performance levels of two most important attributes – system quality and experience with chatbot – could be improved resulting in additional improvements of customer satisfaction.

This study suggests the importance of firms’ investments in and adoption of e-agents to strengthen consumer–brand relationships and of considering both the hedonic and utilitarian attributes of their e-agents.

This article attempts to enrich and consolidate the growing body of literature concerning the impacts of new technologies – and, specifically, chatbots – in service marketing.

Relying on importance–performance theory, this paper uses a distinctive statistical analysis instrument to investigate the importance and performance of crucial wine tasting room constructs and indicators with a purpose to make real and tangible recommendations for wine tasting room managers to improve the winery visit experience.

The surveys (N = 402) were conducted among 14 wineries in British Columbia, Canada. The data was analysed by using partial least squares structural equation modelling software SmartPLS with importance–performance functionality embedded in it.

The findings indicate the importance and performance of the service quality constructs, assurance, empathy, reliability, responsiveness, and tangibility and their respective indicator variables in importance–performance map analysis (IPMA). The responsiveness construct showed the highest need for improvement in terms of performance of exogenous service quality constructs in wine tasting rooms. Empathy, value for money and reliability constructs got “no change” recommendation and “tangibility” and “education” recommendation. The assurance construct was not significantly related to customer satisfaction and was not included in the IPMA analysis.

The approach provides an easy to use and visual tool for wineries to assess the importance and performance of the various service quality elements. The tool provides the management of wineries guidance for the identification of strategic areas of service quality improvement.

Relying on the importance-performance theory first established by Martilla and James (1977), this research paper utilizes a unique statistical analysis instrument embedded into the SmartPLS software. It explores the importance and performance of key project management constructs and indicators with a purpose to make practical and actionable recommendations for project managers to identify and improve project management practices.

The data used were derived from 3,130 system delivery projects in the facilities management industry. The data was analyzed with Partial Least Squares Modelling (PLS) software SmartPLS, using its embedded importance-performance functionality.

The findings indicate the importance and performance of the project management constructs and their respective indicator variables in an importance-performance (IPMA) map. All three project management phases (constructs); proposal, installation and commissioning, were significantly related to satisfaction. The installation phase (construct) showed the highest potential for performance improvement in project management. With regard to the specific indicator variables, the variable “Coordinating their work with other contractors (or the owner's staff)” received a strong “Do better” recommendation.

The approach and results provide an easy to use and visual tool for project managers to assess the importance and performance of the various elements of project management. The instrument provides a project management direction for the identification of strategic enhancement areas as it is essential to recognize what facets of project management contribute most to the improvement of project management performance over a longer period of time (Cronin and Taylor, 1992; Palmer, 1998).

The faculties are crucial to education. They should have enough training facilities and be encouraged to actively contribute to high-quality education and successful learning. Faculty engagement and development activities should be explored and included in learning organizations and employee engagement in India. This paper aims to describe higher education as a learning organization. The research will also assess how faculty development programs affect faculty engagement behaviors in these institutions and if professional development mediates this effect, which has not been previously examined.

This study was conducted with quantitative data collected from 267 faculties through reliable and validated adapted questionnaires. Semistructured interviews were conducted with heads and professor-level faculties to gain insights into faculty development and engagement. Partial least squares structural equation modeling technique (PLS-SEM 3.3.6 version) was used to test the conceptually drafted model.

Faculty professional development programs shown to improve higher education faculty engagement and professional progress. The studies also showed that higher education institutions must prioritize faculty development to become learning organizations. Professional development reduced the direct effects of faculty development program (FDP) on faculty engagement. This suggests that professional growth mediates the research.

This research emphasizes and professional development to boost teacher involvement in B-Schools. Management must design faculty development programs to construct professional development and learning organizations, according to the results. Developing and writing rules that encourage faculty engagement in such internal and external programs would also enhance their academic and administrative abilities and assist higher education institutions become learning organizations.

The study is one of the few to examine the impact of faculty development programs and professional development on faculty engagement in higher education institutions, particularly B-Schools, and its competitive mediating role.

The purpose of this paper is to introduce the importance-performance map analysis (IPMA) and explain how to use it in the context of partial least squares structural equation modeling (PLS-SEM). A case study, drawing on the IPMA module implemented in the SmartPLS 3 software, illustrates the results generation and interpretation.

The explications first address the principles of the IPMA and introduce a systematic procedure for its use, followed by a detailed discussion of each step. Finally, a case study on the use of technology shows how to apply the IPMA in empirical PLS-SEM studies.

The IPMA gives researchers the opportunity to enrich their PLS-SEM analysis and, thereby, gain additional results and findings. More specifically, instead of only analyzing the path coefficients (i.e. the importance dimension), the IPMA also considers the average value of the latent variables and their indicators (i.e. performance dimension).

An IPMA is tied to certain requirements, which relate to the measurement scales, variable coding, and indicator weights estimates. Moreover, the IPMA presumes linear relationships. This research does not address the computation and interpretation of non-linear dependencies.

The IPMA is particularly useful for generating additional findings and conclusions by combining the analysis of the importance and performance dimensions in practical PLS-SEM applications. Thereby, the IPMA allows for prioritizing constructs to improve a certain target construct. Expanding the analysis to the indicator level facilitates identifying the most important areas of specific actions. These results are, for example, particularly important in practical studies identifying the differing impacts that certain construct dimensions have on phenomena such as technology acceptance, corporate reputation, or customer satisfaction.

This paper is the first to offer researchers a tutorial and annotated example of an IPMA. Based on a state-of-the-art review of the technique and a detailed explanation of the method, this paper introduces a systematic procedure for running an IPMA. A case study illustrates the analysis, using the SmartPLS 3 software.

Under the digital wave and the new industrial competition pattern, the automobile industry is facing multiple challenges such as the redefinition of new technologies and supply chain changes. The purpose of this study is to link big data analytics and artificial intelligence (BDA-AI) with digital supply chain transformation (DSCT) by taking Chinese automobile industry firms as a sample and to consider the role of supply chain internal integration (SCII), supply chain external integration (SCEI) and supply chain agility (SCA) between them.

Data were collected from 192 Chinese firms in the automotive industry and analyzed using partial least squares structural equation modeling (PLS-SEM). Importance-performance map analysis is used to extend the standard results reporting of path coefficient estimates in PLS-SEM.

The results indicate that BDA-AI, SCII, SCEI and SCA positively influence DSCT. In addition, this study found that SCII, SCEI and SCA play an intermediary role in BDA-AI and DSCT.

The paper enriches the research on the mechanism of digital resources affecting DSCT and expands the research of organizational information processing theory in the context of digital transformation. The paper explores how the resources deployed by firms change the strategic measures of firms from the perspective of responsiveness. By exploring the positive impact of SCA as a response capability on the DSCT strategy and its intermediary role between digital resources and DSCT, which is helpful to the further theoretical development of logistics and supply chain disciplines.

This study aims to advance the understanding of both the challenges and the priorities facing Spanish universities undergoing the digital transformation era, to identify areas for improvement in university management, from a managerial point of view.

To analyze the importance and adequacy of various aspects related to digitalization, the authors use the importance–performance matrix, by surveying figures who have or have had a managerial position in the university, such as rectors and vice-rectors.

The results showed that the priority areas were related to strategic and financial management, knowledge management and the society and environment dimension. It all revealed imbalances, the most important of which were in the areas referring to attracting talent, sources of financing, strategic management and digitalization.

The study could benefit from considering or placing greater emphasis on alternative viewpoints, including those of external experts and administrative managers at public universities.

The practical implications relate to university management. In particular, the study highlights two issues that are a priority: attracting talent and training for university management as well as for data management. It follows from these results that legislative development and public funding should be directed towards adapting the training offer as well as the management structure and processes to the context of digitalization.

These results have implications for the public sphere, for decision-making related to the public funding that organizations receive from governments. Indeed, as the empirical results demonstrate, the proposed framework is effective not only in assessing the status of digitalization in the university but also in providing information on the most important aspects that need particular attention to achieve the desired future condition.

The novelty of this study lies in the analysis and evaluation of the digitalization process and how public universities are facing it, from the perspective of university management. Methodologically, the novelty lies in the use of the importance–performance matrix, which not only provides insight into the importance of different aspects to be analyzed but also provides information about their adequacy.

The purpose of this paper is to examine the relationship between job satisfaction and employee performance in the media industry as well as the role of demographic variables, namely, age, gender, income, marital status, and the level of education as categorical moderators on this relationship.

A total of 220 valid questionnaires were collected from employees in the Malaysian media industry to examine the goodness of model fit, sign indeterminacy, measurement model, and structural relationships between constructs. Using partial least squares (PLS) path modelling, this study introduces a full-fledged structural equation modelling approach by applying ADANCO 1.1 advanced composite modelling and SmartPLS 3.2.3. PLS-multi-group analysis is applied to examine the heterogeneity of data and test the hypotheses on moderating variables.

Payment, promotion, supervision, operating conditions, co-workers, and nature of the work were found to be conducive to employees’ job performance, among which co-workers generated the highest path coefficient followed by operating conditions, payment, and promotion. Hypotheses on the relationships between fringe benefits, contingent rewards, communication, and job performance were rejected. Age, gender, and level of education were found as moderators to the relationship between facets of job satisfaction and employees’ job performance.

The results of importance-performance map analysis can help managers and decision makers to prioritize their actions. The findings show that co-workers and operating conditions have the highest importance and payment and contingent rewards have the highest performance on job performance in the media industry.

This study is among the few that investigates the relationship between job satisfaction and job performance in the media industry by considering demographic factors as the moderating variables. This study also contributes methodologically through the introduction of a synergistic PLS approach.