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Presents details of a study identifying the performance determinants required of chief executive officers (CEOs) and senior managers. The study compares current findings in management competences (referred to here as performance determinants) with previous research in this field. Although previous research has identified such performance determinants, the bulk of the literature has focused on middle management rather than on senior management. Sixty‐six CEOs and senior managers in the public sector were interviewed. Preliminary analysis of the data indicated that there was little evidence of a generic model identifying the performance determinants for senior managers.

Compares and contrasts the Australian and international literature which has examined the determinants of export performance with a view to developing a model which will assist in improving what is generally considered to be low levels of achievement by Australian exporters. Based on a subjective evaluation of the international literature classifies export performance determinants into four categories of determinants ‐ tangible (e.g. product, technology, distribution), attitudinal, skill and knowledge. Combines these determinants into a simple explanatory model process for the Australian literature. Concludes, after comparison of the two literatures that such differences as exist are a matter of degree rather than kind. Lack of prior experience and a poor perception of the potential benefits appear to inhibit Australian involvement and are reflected in low confidence levels. Modifies the original model to address these issues, giving greater emphasis to a long‐term perspective and the attitudinal and skill based factors. Suggests that greater familiarity with the extant body of knowledge dealing with export performance determinants is needed to achieve the necessary attitudinal change and commitment to exporting which underpins success in domestic markets.

This paper aims to determine which factors are the most important for French wine small‐ and medium‐sized enterprises (SMEs) to focus on to improve their export performance. French wine companies, mostly SMEs are acting in a market where being internationally competitive is essential. This is becoming increasingly challenging because of the strong growth of New World wines in international markets. Moreover, they have to face the saturation of their domestic market compounded by a decline in per capita consumption domestically. Having a high export performance could help them be more competitive.

The first step to reach this goal is reviewing the existing literature on export performance determinants in SMEs and more particularly in the wine industry. A theoretical model is built and used to structure an empirical analysis of the determinants of the export performance of French wine SMEs.

Export performance determinants can be theoretically divided into internal, external and strategy‐related determinants. Empirical analysis indicates that in the French wine industry, business partnerships, innovation, a greater size and an effective export commitment are linked to higher levels of export performance.

This research reveals that financial determinants of export performance are missing in the literature. Besides, duplicating the study with another export performance determinant is necessary to confirm the validity of the results.

This article brings an overall theoretical approach to export performance determinants in SMEs. Moreover, it provides a basis for understanding and then improving the viability of French wine companies through export development.

The purpose of this paper is to focus on possible combinations of the key determinants of high performance in sport governing bodies (SGBs) which go well beyond the net effects of independent variables.

The research focused on 18 sport governing bodies from the French‐speaking community of Belgium (CSGBs). Their strategic goals are emphasized and their potential determinants of performance are measured and assessed. Due to the small n‐sample and the causal complexity inherent in this research, a crisp‐set qualitative comparative analysis (csQCA) was performed.

Three generic combinations of the key determinants linked with high performance were highlighted. The first was high‐performing CSGBs that provide innovative activities for their membership and are proactive in elite sport services. The second was other high‐performing CSGBs of large size that involve paid staff in decision‐making processes and also develop innovative activities. The third was small‐sized governing bodies which, although they do not have extensive resources, could perform highly when they relied on volunteer leaders and delegates activities they were not able to deliver.

Due to country and sport specificities, these results may not be generalized to all SGBs. Nevertheless, it is possible to argue that when trying to understand the performance of such complex nonprofit sport organizations, researchers and practitioners need to take into account combinations of factors, rather than independent performance variables.

Using an innovative mixed method design dealing with causal complexity – qualitative comparative analysis – the paper highlights combinations of factors observed in high performing SGBs.

This study aims to empirically analyze the effect of firm financial strengths (liquidity, leverage, and cost of goods sold) and firm characteristics (utilization, tangibility and company size) towards firm financial performance and study the differences of these effects before and after firms going public.

The analysis is based on 159 firms listed on the Stock Exchange of Thailand (SET) during the transition periods of interest from one year before each firm became a listed firm and up to five years after becoming a listed firm (data collection from 2002 to 2019). Fuzzy set qualitative comparative analysis (fsQCA) is applied for the analysis.

The empirical evidence shows that the firms have to maintain different levels of determinants during different years of operation. Before becoming listed firms, the firms' size plays a significant role in determining the firms' financial performance. Different characteristics are required, according to the size of the firms. One year after becoming listed firms, a low level of production and operating expenses in relation to sales and low leverage are the two important factors for superior financial performance. Then, 2–5 years after becoming listed firms and after a steady state is reached, two more factors, good liquidity and high tangibility, are shown to be significant for good financial performance of the firms.

Unlike prior studies, this study explains the causal relationships or combinations of determinants of financial strengths and firm characteristics, before and after going public toward good financial performance of firms, which cannot be identified by analyzing the calendar-year performance.

The use of natural resources by organizations has a significant impact on society, resulting in business firms playing a vital role in developing sustainable development. As a result, corporate sustainability has become an integral aspect of a company’s vision and policy in the modern days. Companies issue sustainability reports based on various criteria and metrics, thereby attempting to gain a competitive edge. This study aims to assess and prioritize the numerous factors that influence corporate sustainability performance.

The analytic hierarchy process (AHP) is used to prioritize the identified determinants of corporate sustainability performance based on the literature. Several experts from business and academia were engaged to build a comparison matrix for assessing the various aspects of corporate sustainability performance. As a result, various corporate sustainability determinants were determined and prioritized following an extensive literature review using the AHP.

The most critical component for companies is an economic indicator. Developing environmentally and socially responsible suggestions must be a priority for the organization’s economic performance. Economic performance is believed to be most heavily influenced by innovation and in the other category like environmental and social performance are highly influenced by environment management policies and shareholder responsibility, respectively. Researchers’ findings suggest that to promote sustainability, top executives should devote all of their attention to innovation, environment management policies and shareholder responsibility.

These studies are primarily concerned with developed countries. And, the other fundamental constraint of the AHP study is that the rating scale adopted in the analysis is conceptual. Therefore, pairwise comparisons with a variety of indicators have the potential to introduce bias into the results.

This paper proposes a methodical and operational technique for selecting the ultimate priority of sustainability indicators when it comes to exploiting competitive information on business performance. The paper also recommended sustainability rating technique might be carried out once every six months to improve the overall quality and performance of the organization.

The advantages of adopting and executing corporate sustainability are enormous, and managers must determine whether sustainability is profitable or not. This question prompts further inquiries. For example, what are the numerous critical determinants of corporate sustainability performance? Several scholars throughout the world are looking at it for this reason. As a result, it is essential to comprehend and prioritize the various determinants of corporate sustainability performance.

The purpose of this paper is to develop and empirically evaluate a model of the firm‐level determinants of export performance that includes the firm's internationalization modes other than exporting.

The paper uses information gathered on 147 Italian manufacturing small to medium‐sized enterprises (SMEs) and applies a structural equation modeling procedure to evaluate determinants included in the model, which are: the firm's commitment to developing an international marketing strategy, the organizational structure for exports, international modes other than exporting (foreign direct investment, international alliances, global sourcing), and some characteristics of the firm already extensively explored in other studies (size, age, international experience).

The above‐mentioned firm internationalization methods are shown, as a whole, to have a statistically significant, positive and direct influence on export performance. The same can be said of the strategic variable and the organizational variable, whereas the firm characteristics have only an indirect effect on export performance, mediated by the previous three determinants.

The study presents some limitations. In particular, it was limited to manufacturing SMEs in a particular geographical area (North‐East Italy). Replications in other territories are needed to validate the current findings. Moreover, the results of the statistical analysis reveal a moderate support to the research model with regard to some fit indices. These issues could be addressed in future research.

The most important outcome of the study refers to the influence of the internationalization modes other than exporting. Although a great deal of theoretical and empirical literature analyzed the determinants of export performance, this relationship has been largely neglected.

The purpose of this paper is to measure the competitive performance of four major Iranian synthetic fiber‐manufacturing companies, as one of the main sectors in the textile industry, using an analytical approach. The results presented assist in evaluating the competitive performance of a company, while developing recommendations for improving competitive strategy of the firms.

The proposed approach is based on Porter's diamond of competitive advantage (including four main determinants, namely factor conditions, demand, related and supporting industries and firm strategy and rivalry, plus government as an external factor). This approach is based on five determinants, each one consisting of two to six elements, with each element including a number of variables, i.e. 55 variables in total, which were confirmed by the interviewees as important factors affecting the competitiveness of a firm. Accordingly, the results obtained from the interviews confirmed the validity of the proposed approach to assess the competitiveness of a company. In addition the proposed approach is applied to assessing the competitive performance of four companies which manufacture synthetic fibers, in terms of each determinant as well as the overall competitive performance of each company. The data used in this research were obtained from both face‐to‐face interviews and a questionnaire completed by the key managers and engineers at the companies studied. The validity of the results obtained by means of the proposed approach was also correlated by comparing the results with the Export Value and Relative Comparative Advantage index of the synthetic fiber industry in Iran.

The results reveal that the competitiveness of the four companies is significantly low. Furthermore, of the five determinants, factor condition yielded the highest performance for the firms. The paper also identifies some of the shortcomings affecting the local manufacturers, and provides recommendations on how to improve the competitive performance of the firms.

The proposed approach provides a good basis for assessing the competitive performance of the companies. This can also help both researchers and practitioners in deciding how best to improve the competitive performance of a company.

The research proposes an analytical method for measuring the competitiveness of companies. This also helps in developing recommendations for improving competitive strategy. In addition, the method evaluates the competitive performance of four companies which play an important role in the Iranian synthetic fiber industry. Recommendations are also made on how to improve the performance. The findings should prove useful for both researchers and practitioners.

The authors conduct a structured analysis of the literature on the determinants of economic and financial franchise performance and develop an integrative framework that unifies the literature from franchisor as well as franchisee perspectives.

53 relevant research articles on economic and financial franchise success published between 1976 and 2020 were identified. After providing an overview of the empirical methods and theoretical perspectives found in the literature, an original classification system of franchise success determinants was developed.

More than 50 different variables impacting economic or financial franchise success were identified and grouped into ten distinct categories. The most impactful categories are the franchise relationship, franchisee characteristics and capabilities, franchisor variables and the franchise environment. The study’s integrative framework illustrates not only the impact of these factors on franchise success, but also reveals which areas require more attention.

As the study focused on understanding the determinants of franchise success, any measures related to franchise failure were excluded. Also, the role of venture capital and stock market listing as growth strategies in the franchise sector were excluded.

The study’s framework shows how the management of franchise success is complex and that franchise relationship, franchisee and franchisor variables as well as the franchise context need to be taken into account. It illustrates that there is a hierarchy with which these determinants should be prioritized.

The article proposes the first systematic review of the literature on the determinants of economic and financial franchise success. The contribution offers both, researchers and practitioners, new and useful insights for future knowledge development in the field.

Drawing on the technology-organization-environment (TOE) framework, this study aims to investigate determinants of performance of artificial intelligence (AI) adoption in hospitality industry during COVID-19 and identifies the relative importance of each determinant.

A two-stage approach that integrates partial least squares structural equation modeling (PLS-SEM) with artificial neural network (ANN) is used to analyze survey data from 290 managers in the hospitality industry.

The empirical results reveal that perceived AI risk, management support, innovativeness, competitive pressure and regulatory support significantly influence the performance of AI adoption. Additionally, the ANN results show that competitive pressure and management support are two of the strongest determinants.

This research offers guidelines for hospitality managers to enhance the performance of AI adoption and presents policy-making insights to promote and support organizations to benefit from the adoption of AI technology.

This study conceptualizes the performance of AI adoption from both process and firm levels and examines its determinants based on the TOE framework. By adopting an innovative approach combining PLS-SEM and ANN, the authors not only identify the essential performance determinants of AI adoption but also determine their relative importance.