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Partial least squares structural equation modeling (PLS-SEM) has become popular in the information systems (IS) field for modeling structural relationships between latent variables as measured by manifest variables. However, while researchers using PLS-SEM routinely stress the causal-predictive nature of their analyses, the model evaluation assessment relies exclusively on criteria designed to assess the path model's explanatory power. To take full advantage of the purpose of causal prediction in PLS-SEM, it is imperative for researchers to comprehend the efficacy of various quality criteria, such as traditional PLS-SEM criteria, model fit, PLSpredict, cross-validated predictive ability test (CVPAT) and model selection criteria.

A systematic review was conducted to understand empirical studies employing the use of the causal prediction criteria available for PLS-SEM in the database of Industrial Management and Data Systems (IMDS) and Management Information Systems Quarterly (MISQ). Furthermore, this study discusses the details of each of the procedures for the causal prediction criteria available for PLS-SEM, as well as how these criteria should be interpreted. While the focus of the paper is on demystifying the role of causal prediction modeling in PLS-SEM, the overarching aim is to compare the performance of different quality criteria and to select the appropriate causal-predictive model from a cohort of competing models in the IS field.

The study found that the traditional PLS-SEM criteria (goodness of fit (GoF) by Tenenhaus, R2 and Q2) and model fit have difficulty determining the appropriate causal-predictive model. In contrast, PLSpredict, CVPAT and model selection criteria (i.e. Bayesian information criterion (BIC), BIC weight, Geweke–Meese criterion (GM), GM weight, HQ and HQC) were found to outperform the traditional criteria in determining the appropriate causal-predictive model, because these criteria provided both in-sample and out-of-sample predictions in PLS-SEM.

This research substantiates the use of the PLSpredict, CVPAT and the model selection criteria (i.e. BIC, BIC weight, GM, GM weight, HQ and HQC). It provides IS researchers and practitioners with the knowledge they need to properly assess, report on and interpret PLS-SEM results when the goal is only causal prediction, thereby contributing to safeguarding the goal of using PLS-SEM in IS studies.

This purpose of this research was to develop and establish psychometric properties of scales measuring individual leadership for health promotion.

Scales to measure leadership in health promotion were drafted based on capacity assessment instruments developed by other provinces involved in the Canadian Heart Health Initiative (CHHI), and on the literature. Content validity was established through a series of focus groups and expert opinion appraisals and pilot testing. Psychometric analyses provided empirical evidence of the construct validity and reliability of the leadership scales in the baseline survey (n=144) of the Alberta Heart Health Project.

Principal component analysis verified the construct of the leadership scales of personal work‐related practices and satisfaction with work‐related practices. Each of the theoretically a priori determined scales factored into two scales each for a total of four final scales. Scale alpha coefficients (Cronbach's alpha) ranged between 0.71 and 0.78, thus establishing good scale internal consistencies.

Limitations include the relatively small sample size used in determining psychometric properties. In addition, further qualitative work would enhance understanding of the complexity of leadership in health organizations. These measures can be used by both researchers and practitioners for the assessment leadership for health promotion and to tailor interventions to increase leadership for health promotion in health organizations.

Establishing the psychometric properties and quality of leadership measures is an innovative step toward achieving capacity assessment instruments which facilitate evaluation of key relationships in developing health sector capacity for health promotion.

This study examines factors related to audit committee membership for a sample of large New Zealand listed companies. This study reveals that non‐executive directors who are independent, and directors with financial expertise, are more likely to be members of audit committees. The results are consistent with the New Zealand Securities Commission’s corporate governance guidelines for audit committees of New Zealand listed companies. However, in the current New Zealand regulatory environment, directors with accounting expertise can include non‐executives affiliated with the firm. In these situations the financial expert is not independent. Remuneration committee members are found more likely to be members of the audit committee. This may be a result of their power and influence or be due to the skills they bring. The number of years that directors serve on the board, the number of other directorships they hold, and the number of shares they own in the company are not related to audit committee membership.

This paper examines the opportunity cost of applying simple averages in formulating the Department of Defense (DoD) budget for foreign exchange rates. Using out-of-sample validation, we evaluate the status quo of a center-weighted average against a Random Walk model, ARIMA, forward rates, futures contracts, and a private firm's forecasts over two time periods extending from Fiscal Year (FY) 1991 to FY 2014. The results strongly indicate that four of the alternative methods outperform the status quo over the shorter time period, and three methods for both time periods. Furthermore, a non-parametric comparison of the median error demonstrates statistical similarities between the four alternative methods over the short term. Overall, the paper recommends using the futures option prices to decrease forecast error by 3.23% and avoiding a $34 million opportunity cost.

The analysis of acetate acrylic and acrylic copolymers systems is described. Much useful information is rapidly obtained by infra‐red spectrophotometry and pyrolysis gas chromatography, however quantitative analyses generally require the polymer material to be cleaved by chemical means with subsequent identification of the fragments by gas chromatography.

This paper aims to investigate the emerging relevance of gratitude within a contracted, long-term business-to-business context. Specifically, the authors examine the relationships between personality, gratitude and performance in franchisor–franchisee relationships.

A self-report survey was used to collect data from a sample of 225 franchisees drawn from across 28 franchise systems.

The results reveal that extraversion had a negative relationship with gratitude, while agreeableness and emotional stability were positively related to gratitude. Gratitude was also positively related to performance and mediated the relationship between extraversion, agreeableness and emotional stability and performance. Moreover, the results confirm that relationship length moderated the relationship between conscientiousness and gratitude.

The study shows that an individual’s personality is a factor in determining the onset of perceived gratitude, which acts as a mediating mechanism between personality and performance. This extends current research into the relational sentiment of gratitude, which has, to date, only examined the traits of the benefactor within the context of perceived benefits.

It is proposed that the knowledge of franchisees’ personal characteristics can be used to develop and maintain on-going interpersonal relationships between franchisees and franchisors. Moreover, the authors suggest that franchisors’ relationship strategy should be revised over time to maintain its effectiveness.

This paper represents the first empirical examination of the influence of personality on an individual’s proclivity to experience felt gratitude in a franchisor–franchisee relationship. This addresses one of the major issues in franchising research, which often overlooks the role of individual dispositional personality traits.

The purpose of the study is to investigate the impact of implementing anti-dumping duties on imported Australian wine to China in the short- and long-run, respectively.

First, the Difference-in-Differences (DID) method is used in this study to evaluate the short-run causal effect of implementing anti-dumping duties on imported Australian wine to China. Second, a Bayesian ensemble method is used to predict 2023–2025 wine exports from Australia to China. The disparity between the forecasts and counterfactual prediction which assumes no anti-dumping duties represents the accumulated impact of the anti-dumping duties in the long run.

The anti-dumping duties resulted in a significant decline in red and rose, white and sparkling wine exports to China by 92.59%, 99.06% and 90.06%, respectively, in 2021. In the long run, wine exports to China are projected to continue this downward trend, with an average annual growth rate of −21.92%, −38.90% and −9.54% for the three types of wine, respectively. In contrast, the counterfactual prediction indicates an increase of 3.20%, 20.37% and 4.55% for the respective categories. Consequently, the policy intervention is expected to result in a decrease of 96.11%, 93.15% and 84.11% in red and rose, white and sparkling wine exports to China from 2021 to 2025.

The originality of this study lies in the creation of an economic paradigm for assessing policy impacts within the realm of wine economics. Methodologically, it also represents the pioneering application of the DID and Bayesian ensemble forecasting methods within the field of wine economics.

Substrates with high thermal conductivity continue to be in great demand for their ability to enable smaller and denser high power circuits. BeO has been used for this purpose for many years with thick film materials. However, due to health and environmental concerns with BeO, many manufacturers feel compelled to switch to alternative substrates. This paper will discuss a thick film system consisting of conductors, dielectric, and resistors developed specifically for use with the most likely alternative, AlN substrates. This system will soon find broad use in applications such as power resistors for telecom, optoelectronic submounts, and high‐power automotive applications.

This paper aims to study the effects of innovation on the profitability of large wineries. In particular, organic growth is evaluated versus external growth.

Data from balance sheets over more than a decade are used. The analysis is limited to large Italian wineries to include firms that constantly invest in R&D in the sample. The analysis focuses on 25 Italian wineries observed over eight years. Panel data estimation is used to analyse these data.

The paper shows that investments in R&D increase the profitability of innovative wineries in the long run but decrease it in the short run. Moreover, because of financial constraints, some wineries may invest too few resources in R&D.

The main limitation is that the focus is restricted to large wine producers, while many small producers that do not generally invest in R&D exist in the market. The practical implication is that governments should support R&D investments of wineries.

The main contributions are to show empirically the effects of investing in R&D on the profitability of large wineries and to highlight the possible presence of severe financial constraints, which require policy interventions.

Mood and anxiety disorders affect 20–30 percent of school-age children, contributing to academic failure, substance abuse, and adult psychopathology, with immense social and economic impact. These disorders are treatable, but only a fraction of students in need have access to evidence-based treatment practices (EBPs). Access could be substantially increased if school professionals were trained to identify students at risk and deliver EBPs in the context of school-based support services. However, current training for school professionals is largely ineffective because it lacks follow-up supported practice, an essential element for producing lasting behavioral change. The paper aims to discuss these issues.

In this pilot feasibility study, the authors explored whether a coaching-based implementation strategy could be used to integrate common elements of evidence-based cognitive behavioral therapy (CBT) into schools. The strategy incorporated didactic training in CBT for school professionals followed by coaching from an expert during co-facilitation of CBT groups offered to students.

In total, 17 school professionals in nine high schools with significant cultural and socioe-conomic diversity participated, serving 105 students. School professionals were assessed for changes in confidence in CBT delivery, frequency of generalized use of CBT skills and attitudes about the utility of CBT for the school setting. Students were assessed for symptom improvement. The school professionals showed increased confidence in, utilization of, and attitudes toward CBT. Student participants showed significant reductions in depression and anxiety symptoms pre- to post-group.

These findings support the feasibility and potential impact of a coaching-based implementation strategy for school settings, as well as student symptom improvement associated with receipt of school-delivered CBT.