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This study extends research on one of the most frequently cited school leadership frameworks by examining the psychometric properties of the instrument designed to assess many of the practices included in that framework.

Using data collected from 1,401 teachers the study examined the instrument’s measurement invariance, score reliabilities, as well as construct and predictive validities. Polytomous latent trait models (Many-Facet Rasch model), scale and principal component analysis using second-order Confirmatory Factor Analysis, and Structural Equation Modeling (SEM)-Path modelling were used for these purposes.

Findings report levels of score reliability and valid score inferences. Results concerning the predictive validity of the instrument indicate a complex set of relations among the domains of leadership practices measured by the instrument, variables selected as mediators of leaders’ influence, and their direct and indirect effects on student learning.

This study provides researchers with a reliable and valid instrument for use in their future research. Data for the study were provided by elementary teachers in one US state. The extent to which results of the instrument are valid across different cultural and organizational settings remains to be determined.

Leadership developers may find the instrument useful for assessing the strengths and weaknesses of those participating in their programs while leaders themselves many find the instrument useful for self-diagnosis.

This study contributes to the development of school leadership measures by including Rasch modeling among the methods used for examining the instrument’s psychometric properties.

This chapter proposes a fuzzy approach to forecasting using a financial data set. The methodology used is multiple objective linear programming (MOLP). Selecting an individual forecast based on a single objective may not make the best use of available information for a variety of reasons. Combined forecasts may provide a better fit with respect to a single objective than any individual forecast. We incorporate soft constraints and preemptive additive weights into a mathematical programming approach to improve our forecasting accuracy. We compare the results of our approach with the preemptive MOLP approach. A financial example is used to illustrate the efficacy of the proposed forecasting methodology.

The purpose of this paper is to examine the impact of sustainability training and knowledge on sustainable supply chain practices (SSCP) and the resulting impact on sustainable supply chain outcomes (SSCO) and firm performance. It also provides a valid and reliable measure of SSCO.

Data collected from 129 manufacturing managers are analyzed using a partial least squares structural equation modeling methodology. Manufacturing managers provide data reflecting the degree to which their organizations improved sustainability training and knowledge, utilize SSCP, the degree to which SSCO result, and the subsequent operational performance (OPP) and environmental economic performance (EEP).

Organizational sustainability training and knowledge positively impacts SSCP, and the utilization of SSCP results in SSCO which favorably impact OPP and EEP.

The study is limited to manufacturing organizations.

Practitioners are encouraged to improve organizational learning and training and are provided with a valid and reliable scale for measuring the outcomes of their sustainable practices. Combined with the work of others, this provides a framework for evaluating different aspects of sustainability with a firm.

Improved green manufacturing practices improves the environment by eliminating all forms of waste and provides eco-friendly products and services.

A sustainable supply chain training and knowledge model is proposed and empirically assessed. The results of this investigation support the proposition that sustainability training and knowledge support the implementation of sustainability supply chain practices which, in turn, improve sustainability outcomes and operational and EEP.

This study aims to empirically testify an integrated model, including the attributes of smart tourism technologies (STTs) (user interface [UI] design, informativeness, accessibility, personalization and interactivity), satisfaction, loyalty and word of mouth (WOM), and further investigate the potential moderating effect of switching costs (SCs) on the satisfaction–loyalty/WOM relationships.

Systematic sampling was used to collect data in Macau. Partial least squares structural equation modeling (PLS-SEM) was employed to analyze valid data collected from 332 tourists who have recently used STTs.

The results indicate that informativeness has a stronger effect on satisfaction, loyalty and WOM than UI design, accessibility and personalization; interactivity shows no significant influence on satisfaction, loyalty and WOM; satisfaction positively influences loyalty and WOM. Furthermore, procedural SCs negatively moderate the effects of satisfaction on loyalty and WOM.

The present study extends the knowledge about information technology and tourism (ITT) by introducing a new attribute, UI design into STT structure and confirming that UI design is an effective predictor of user satisfaction. This paper is also a pioneer study that integrates customer satisfaction with STTs with SCs to explore the mechanism of how customer loyalty and WOM are generated. Practical recommendations are provided for STT designers and destination managers to improve the overall quality of STTs and to consider carefully setting procedural SCs as a retention strategy.

Networks and learning matter to small- and medium-sized enterprises (SMEs). Networks and learning are also further elaborations on the exploration–exploitation (EE) dilemma. Ambidexterity, that is, managing this apparent dilemma, can be difficult as a result of many constraints. One of these constraints is that of mutually exclusive network structures. Consequently, ambidexterity is the ability to change networks, depending on need using mixed data on four small companies formed as part of an undergraduate management class, I hypothesize how specific network properties of the advice-seeking relationship, including density, cohesion, centralization, and embeddedness, affect two outcomes. Specifically, early exploratory learning is proposed to be positively affected by less-dense networks that maintain cohesion without centralization and do not have relations embedded in other relations. In contrast, later exploitative learning should be associated with denser networks that also have higher cohesion, higher centralization, and greater embeddedness. The results provide some support for these hypotheses and suggest further research in two areas that will benefit SMEs. One, how do early networks affect learning mode? Two, how does the ability to rewire networks provide the relational infrastructure to shift from exploration to exploitation – that is, to be ambidextrous in the face of the exploration–exploitation tradeoff?

We investigate the effect of the PCAOB’s Part II report on annually inspected firms’ audit fees and audit quality. The PCAOB replaced the peer review auditor program with an independent inspection of audit firms. Upon completion of each inspection, the PCAOB issued inspection reports that include a public portion (Part I) of identified audit deficiencies, and (in most cases) a nonpublic portion (Part II) of identified quality control weaknesses. The Part II report is only made public when the PCAOB deems that remediation was insuffcient after at least 12 months have passed. Starting around the time of the 2007 Deloitte censure (Boone et al., 2015), the PCAOB shifted from a soft synergistic approach to an antagonistic approach, such that Part II reports were imminent, despite delays that ultimately led to their release one to four years later than expected. Our study spans the period from 2007 to 2015, and examines the effect on audit fees and audit quality at the earliest date that the Part II report could have been released – 12 months after the Part I report was issued. We find that following the 12 month period, that annually inspected audit firms eventually lost reputation by lower audit fees, while they concurrently made remedial efforts to increase the quality of their client’s financial reporting quality (abnormal accruals magnitude and restatements). However, three years after the Part II report was actually released, audit fees increased.

This study aims to develop a conceptual model to understand how customer knowledge management (CKM) affects fitness club membership renewal through the mediation of relationship quality.

Data were collected outside of fitness clubs using a systematic sampling method. A total of 224 valid responses were collected. Structural equation modelling was used to evaluate the relationship between the constructs of the research model.

The results indicate that both knowledge from customers and knowledge for customers have a positive influence on customer satisfaction and customer trust. Among them, knowledge for customers has a stronger influence on customer satisfaction while knowledge from customers has a greater influence on customer trust. Additionally, three dimensions of relationship quality (customer satisfaction, customer trust and customer commitment) positively influence membership renewal intention with customer commitment exhibiting the greatest influence on it.

This study combines the theories of CKM and relationship quality management to explain why members will renew their service contracts. By using fitness clubs as an example, this research extends the authors' understanding of how knowledge from and for customers can influence customers' attitudes and behavioural intentions towards service companies.

A project manager’s (PM) emotional intelligence (EI) is essential for project performance (PP). However, the cause and effect and the potential moderators of the relationship between EI and PP remain disputed. Some scholars found a positive association between PMs’ EI and project outcomes, while some other studies showed non or negative relation. This paper aims to find the relationship between PMs’ EI and PP and the factors that influence this relationship based on diverse prior research.

This paper conducts a meta-analysis of 5,229 observations based on 24 independent studies from 1990 to 2021.

Results show that PMs’ EI has a significant positive influence on PP, and the project complexity and measurement of PP are two critical moderators explaining inconsistencies in existing research.

The current study proposes suggestions for construction companies on PMs’ selection and training. This study also offers suggestions for PMs in management practice.

To the best of the authors’ knowledge, this study is the first to explore the inconsistencies in prior research results on the relationship between PMs’ EI and PP at the meta-analytic level. This research extends the current literature by revealing the factors leading to existing consistencies that are not explored before. This study implies that the meta-analysis method could help reach a balanced conclusion based on inconsistent results.

This paper presents results from a study on Unauthorized Software Copying among a group of professional computer end users. The magnitude of the practice is measured. Attitudes of users towards the issue are identified.

Food delivery apps (FDAs), as a well-known technology, have been widely adopted by restaurants and customers. Different from existing studies in this field that mainly focused on the technical (internal) parts, the study aims to introduce a new framework by linking up technical (internal) factors and service-related (external) factors in the context of FDAs. This study also empirically analyzes a comprehensive model that identifies the impacts of internal and external factors in FDAs on the continuous use intention.

This study proposes a comprehensive model integrating internal and external factors with a sample of 498 respondents who had ordered or purchased food through delivery apps for the partial least squares structural equation modeling (PLS-SEM) analysis.

The results of the study show that time-saving is the most significant factor on customers' perceptions, and various food choices and usefulness have also direct positive impacts on perceived value and satisfaction. In addition, perceived value shows a stronger effect than satisfaction on customers' continuous usage.

These findings provide a new perspective on FDAs, which not only simplify the elements of FDAs but also classify internal and external factors to foster the theoretical and practical development. Ultimately, the model proposed and validated in this study can serve as the basis for future FDAs and other service apps development.