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The purpose of this paper is to provide an organizing lens for viewing the distinct contributions to knowledge production from those research communities addressing the impact of competitive strategy on company performance in general, and the influence of cost leadership and differentiation strategy on organizational performance in detail.

The research methodology was based on the PRISMA review, and thematic analysis based on an iterative process of open coding was analyzed and then the sample was analyzed by illustrating the research title, objectives, method, data analysis, sample size, variables and country.

The main factor that influenced the competitive strategy is strategic growth; strategic growth has a significant influence on competitive strategy. Furthermore, competitive strategy will boost firm network, performance measurement and organization behavior. In the same way, the internal goal factor will enhance organizational effectiveness. Also, a differentiation strategy will support management practice factors, strategic positions, product price, product characteristics and company performance.

This study contributes to the literature by identifying a framework of competitive strategy factors, company performance factors, cost leadership strategy factors, differentiation strategy factors and competitive strategy with global market factors. This study provides a complete picture and description of the resulting body knowledge in competitive strategy and organizational performance.

Performance measurement involves gaining useful information about performance. The purpose is to develop a conceptual framework to assist wholesale managers in selecting useful information to evaluate operational performance. The proposed framework identifies core operations, measures of operational performance and factors that affect the performance of wholesale organisations.

The research essentially relies on the available literature to develop a conceptual framework and define related components. Research primary data were used to validate the framework components and to implement the framework in wholesale organisations by allocating performance factors to the different components of the proposed framework. Using a semi-structured interview design, ten face-to-face interviews were conducted with managers of ten different wholesale organisations.

The research identifies five core operations that affect the operational performance in wholesale organisations, four measures for evaluating efficiency and effectiveness in every core operation and 28 factors that influence operational performance in wholesale organisations.

Operational performance is monitored by evaluating the achievement of efficiency and effectiveness in operations. The research introduces a performance measurement framework that identifies the required information to evaluate the efficiency and effectiveness of core operations in wholesale organisations.

Small and medium-sized enterprises (SMEs) are a major source of employment and revenue growth in developing nations like India, but they also face challenges from resource shortages, shifting consumer demand and heightened competition. This research aims to discover the aspects that enhance SMEs' competitiveness and performance.

By analyzing literature and consulting experts, 10 factors that boost a firm's competitiveness were identified. The total interpretive structural modeling (TISM) method was then used to determine their interaction and structural hierarchy. Neutrosophic-MICMAC analysis was employed to assess the driving-dependence power of each factor.

The study discovered that the factor, namely “entrepreneurial orientation,” was found to be a significant one. “Manufacturing strategy” was found to be extremely dependent on the remaining competitive advantage factors.

This SME-focused framework can be adopted by large businesses to enhance organizational performance by focusing on critical factors. The study depends on experts' judgment, which might be biased. Findings will assist SMEs in identifying significant factors influencing competitive advantage and relationships, increasing awareness of factors contributing to competitive edge.

The results of the research may encourage SME sector managers and practitioners to prioritize the factors that contribute to a firm's competitive advantage.

The majority of research on SME competitive advantage focuses on individual aspects. To add to the body of knowledge on the subject, this study applies the TISM technique to Indian SMEs to identify the contextual interactions among factors that increase long-term competitiveness.

Effort by managers and academics have been applied to understand elements that improving organizational performance and results. This study aims to analyze the relationship among job performance, job crafting, work complexity and learning support. The authors conducted a cross-sectional survey in a study with a regression hierarchical (i.e. multilevel) design.

Sample included 530 respondents of both sexes with ages ranging from 17 to 68 (M = 33.9; SD = 9.75). Participants were employees from 53 public and private organizations located in the Southeast of Brazil. They answered the scales: General Self-Assessment Scale of Job Performance, Job Crafting Behaviors, Learning Support and Subjective Task Complexity.

The results indicated that variance in job performance due to the differences among the organizations and learning support can explain 22% of variance at this level. Job crafting explained 22% of the job performance variance at level 1 (worker). It is concluded that the development of actions concerning job crafting and the relationship with the work context predict performance at work. Thus, the authors highlight the importance of maintaining individual-focused management practices, meaning that focusing on workers development promotes good results at the organization.

Results revealed practical implications through individual performance considered in a multilevel perspective both in Levels 1 and 2, which is not the most common for this variable. They could be especially important in scenarios that will demand adaptability and work modification, as the actual ones were observed in the contemporary world of work.

The research focuses on analysing the effect of wine tourism (WT) on the green performance (GP) of Spanish wineries, as well as the mediating role of green intellectual capital (GIC) and the moderating effect of circular economy practices (CEPs) developed by wineries in this main relationship. In addition, age, size and protected designation of origin (PDO) membership are introduced as control variables to increase the precision of the cause–effect relationships analysed.

A conceptual model is proposed through the literature review carried out and then verified through structural equation modelling (PLS-SEM) based on data obtained from a survey of 202 Spanish wineries between September 2021 and January 2022.

The results of the study show that WT activity has a positive and significant effect on the GP of wineries, also demonstrating the mediating effect of GIC and the moderating role of CEPs in this relationship.

The study contributes to the academic literature in several ways. First, to the best of our knowledge, no previous study has addressed the impact of WT on the set of wineries' ecological intangibles. Second, to the authors’ knowledge, no previous study has analysed the mediating effect of GIC on the WT-GP relationship. Third, there is no previous attempt to deal with the moderating role of CEPs in the main relationship under analysis. Fourth, the proposed theoretical model has not been previously addressed in the academic literature.

This study aims to provide a detailed characterization of Argentinean exporting wineries using a new rich firm-level data set to understand how capabilities and business strategies differ among firms with different levels of involvement in the export market.

A survey was distributed among all wineries along all wine regions of Argentina; the 45-min questionnaire was answered by 230 wineries, a representative sample with a response rate of 26.3% of the total population of Argentinean wineries. The survey assessed the interaction between wineries’ dynamics and characteristics and their participation in export markets. In the comparative analysis, the results are presented by dividing the sample into four categories according to the export intensity of the wineries.

High-intensity exporting wineries in Argentina differ from other Argentinean wineries in several dimensions. In particular, the most internationalized Argentinean wineries are the most endowed with higher capabilities; they follow a specific business model emphasizing product differentiation, quality upgrading, brand building and the development of distribution channels. Exporting wineries from Argentina adopt business practices that differ from those that prevail among wineries that only target the domestic market. They have developed firm capabilities such as human capital and technology to play a critical role in quality upgrading for their participation in global wine markets.

To the best of the authors’ knowledge, this paper is the first to study the Argentinean exporting wineries using a firm-level sizeable representative sample.

The study attempts to build a creative learning transfer (CLT) theory represented by a nomological network incorporating relevant theories and empirical support for the relationships among the transfer predictors in the learning transfer system (LTS), leaders' CLT and their job performance.

The authors used 76-item survey data from 471 managers who worked for 16 large companies located in South Korea, had completed leadership training at least three months before the data collection and had received a performance review just before the data collection. A series of exploratory and confirmatory factor analyses (CFA) and reliability tests were conducted, followed by a common method variance test and structural equation modeling.

A nomological network of LTS, CLT and job performance was established. The findings supported the mechanism for motivating managers to transfer acquired leadership skills to challenging organizational situations and eventually, increase their managerial job performance. This study provided a parsimonious CLT scale and verified the influence of CLT on leaders' job performance.

This study is the first attempt to measure the concept of CLT and suggest a parsimonious CLT scale. In addition, this study conceptualized, operationalized and confirmed a nomological network for CLT. Organizations may develop such a system and help managers apply the learned leadership knowledge and skills to novel business situations for creating more competitive work systems, products and services.

The proliferation of ride-hailing businesses brings significant considerations for improving the driver's operational performance. Informed by the literature on sharing economy, general deterrence theory and protection motivation theory this research investigates the behavioral factors impacting ride-hailing drivers' operational performance.

The authors empirically test the antecedents impacting a ride-hailing driver's operational performance using an online survey dataset comprising 513 ride-hailing drivers working for Uber and Lyft in the United States.

Ride-hailing drivers' intention to comply with the ride-hailing company guidelines results in better operational performance for the driver. Moreover, drivers believe that ride-hailing companies have effective penalties to deter drivers from violating company guidelines. However, drivers also believe that the chances of being caught while ignoring the company guidelines are low.

The results of this research support the decision-making processes of ride-hailing company managers and offer insights on how managers can enhance the operational performance of their drivers.

This study provides unique contributions to emerging research at the intersection of peer-to-peer asset sharing, behavioral studies and technology management. This research is one of the first to explore the role of behavioral factors such as coping mechanisms on the operational performance of sharing economy workers.

The study explores the impact of the general insurance industry’s financial soundness on Sri Lanka’s financial performance by using the CARAMELS approach for seven years (2011–2019) and using secondary data. The study utilised panel data regression analysis. Return on Asset was used as the proxy of financial performance while the 10 dimensions were employed. The best-fitted model is the fixed effect model (FEM), which indicates capital adequacy ratio (CAR) and profitability ratio has a positive impact and that the retention ratio (RR), claims ratio, and expenses ratio harm financial performance in the general insurance sector. The study concluded that capital adequacy, earnings and profitability, reinsurance, and actuaries are important predictors of financial performance for general insurers. The findings help the regulator and general insurers set better performance targets and enable insurance company managers to allocate capital more efficiently.