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Opportunity recognition and opportunity exploitation are two central concepts in the entrepreneurial process. However, there is a lack of both a clear specification of the content domains of the constructs and valid and reliable multi-item scales for their measurement. The paper aims to discuss these issues.

This paper first reveals existing issues around the definitions and measures relating to the concepts, then defines their content domains, and also proposes scale items to measure the concepts. Four samples are used to develop the measurement instruments.

Two scales are suggested, one to measure opportunity recognition, and other to measure opportunity exploitation. The scales demonstrate reliability and construct, discriminant, and nomological validity.

The resulting instruments provide tools for research and practice that could prove valuable when examining the antecedents and consequences of both opportunity recognition and opportunity exploitation.

Partial least squares structural equation modeling (PLS-SEM) has become an established social sciences multivariate analysis technique. Since quality management researchers also increasingly using PLS-SEM, this growing interest calls for guidance.

Based on established guidelines for applying PLS-SEM and evaluating the results, this research reviews 107 articles applying the method and published in eight leading quality management journals.

The use of PLS-SEM in quality management often only draws on limited information and analysis results. The discipline would benefit from the method's more comprehensive use by following established guidelines. Specifically, the use of predictive model assessment and more advanced PLS-SEM analyses harbors the potential to provide more detailed findings and conclusions when applying the method.

This research provides first insights into PLS-SEM's use in quality management. Future research should identify the key areas and the core quality management models that best support the method's capabilities and researchers' goals.

The results of this analysis guide researchers who use the PLS-SEM method for their quality management studies.

This is the first article to systematically review the use of PLS-SEM in the quality management discipline.

The study aims to assess how corporate branding affects firm performance in the context of the Oman hotel industry, listed on the Muscat Stock Exchange (MSX).

This study approach was made by way of a mixed method. First, it examines qualitative and exploratory information collected from companies’ internet sites, audited annual reports (the financial year 2019) published in MSX, web searches and websites of companies and travel agencies from all the eight listed hotel companies in the MSX to examine the impact of corporate branding on firm performance proxied by return of assets (ROA) and return of equity (ROE) and secondly, it assesses the measurement and structural models by applying partial least squares structural equation modeling (PLS-SEM).

The findings recommend that well-thought-out web marketing on corporate branding by hotel companies leads to firm performance. The findings indicate that corporate branding on travel agency websites and a company’s own website can help businesses become more profitable. In addition, there is a synergistic connection on corporate branding of the hotel industry, including the presentation of a novel hotel narrative, the conception of a cornerstone loyalty program, the demonstration of excellence in hospitality and service, information on timely amenities like Covid-19 safety measures and the use of technology and experiential elements through platforms like the company website or the website of the travel agent all essential to achieve firm financial performance. As per the importance–performance matrix map, websites of travel agents (agoda.com, booking.com and hotels.com) had the importance (agoda.com 0.616, booking.com 0.959 and hotels.com 1.036) to impact companies’ corporate branding and firm performance, whereas Google search shows a value of −1.954, which has no impact on companies’ corporate branding.

The study considered only one hotel/tourism industry to know the effect of corporate branding on firm performance. Further studies may be chosen on other industries needed to allow for generalization.

This study aims to provide insights into how the hotel industry can make use of corporate branding through the company website, Google sites and websites of companies’ travel agency by providing timely updated promotion, facilities, quality services and hygiene matters to enhance firm performance.

This study provides empirical evidence to find various factors of corporate branding of the hotel industry’s firm performance. In addition, the study offers valuable insight into the nonmonetary measures of achievements.

This study aims to address customer focus as an important component of total quality management (TQM) and explore the key drivers of member satisfaction in tennis clubs via a novel theory-based member satisfaction index (MSI) model with high explanatory and predictive power. Furthermore, the study aims to investigate the relationship between satisfaction and behavioral intentions (willingness to stay; WTS) with consideration of the mediating effect of identification with the club.

This study uses variance-based partial least squares structural equation modeling (PLS-SEM) to estimate the MSI model, which was tested in a leading tennis club in Germany (n = 185).

The results reveal that club atmosphere, club facilities and the price/quality ratio of the membership fee are the most important drivers of member satisfaction in tennis clubs. Member satisfaction has a large influence on the WTS of tennis club members. Identification with the club, when included as a mediator in the model, increases the variance explained in WTS considerably.

The small sample limits the generalizability of findings, and further research is recommended.

The MSI model is a useful benchmark tool for club managers who want to quantify the satisfaction and WTS of their club members. In addition, because of the integrated formative measurement models, the PLS-SEM results show which indicators can be used to positively impact satisfaction with each of the service quality dimensions, overall member satisfaction and WTS. The most important of these results are discussed in an importance-performance map analysis.

The MSI model is a multi-attribute index model through which members' evaluations of various dimensions of service and value are derived through multivariable linear function with each dimension weighted according to its importance in one holistic model. The model shows the strong impact of satisfaction on WTS of sports club members and reveals that findings of previous research on the relationship between fan and spectator identification and loyalty are transferable to sports club members. The MSI represents a new contribution to the literature; it was applied here to tennis clubs but is also suitable for application to other sports clubs.

Self-service check-out technologies (SSTs) are becoming a trend across different retail settings, allowing companies to gain efficiency and reduce costs. Nevertheless, the success of SSTs implementation is still subject to challenges and uncertainties. This study aims to provide insights for theory and managers on the necessary conditions for the successful implementation of retail SSTs.

Based on an online survey, data from 251 participants were collected to understand the factors predicting SSTs adoption and realise what conditions are mandatory for the adoption. partial Least Squares Structural Equation Modelling (PLS-SEM) and necessary condition analysis (NCA) were used to analyse the data.

According to the NCA analysis results, 12 latent variables were relevant for predicting SSTs adoption, but only seven were necessary conditions for user adoption.

The complementarity of perspectives for understanding the adoption of SSTs based on the two data analysis techniques provides novel insights into theory and support for retailers' decision-making on self-service technologies (STTs) implementation.

The purpose of this paper is to structure existing research on knowledge management (KM) in small- and medium-sized enterprises (SMEs) to offer a comprehensive overview of research strands and topics in KM in SMEs to determine their evolution over time.

The paper, which is considered a follow-up literature review, is based on a systematic literature review that covers 180 scientific papers that were published since the review paper by Durst and Edvardsson in 2012 that covered 36 papers.

The findings of this review and those of the aforementioned review are brought together in the form of an overview that structures research on KM in SMEs based on themes that, in turn, allow the derivation of promising research directions and research questions aimed at structuring future research on KM in SMEs.

By combining the findings of this review with the findings from the review published in this journal in 2012, this paper offers, to the best of the authors’ knowledge, the most comprehensive literature review on KM in SMEs produced to date.