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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.

The aim of this study is to (1) construct a standard framework for assessing the capability of bioenergy enterprises' digital green innovation partners; (2) quantify the choice of partners for digital green innovation by bioenergy enterprises; (3) propose based on a dual combination empowerment niche digital green innovation field model.

Fuzzy set theory is combined into field theory to investigate resource complementarity. The successful application of the model to a real case illustrates how the model can be used to address the problem of digital green innovation partner selection. Finally, the standard framework and digital green innovation field model can be applied to the practical partner selection of bioenergy enterprises.

Digital green innovation technology of superposition of complementarity, mutual trust and resources makes the digital green innovation knowledge from partners to biofuels in the enterprise. The index rating system included eight target layers: digital technology innovation level, bioenergy technology innovation level, bioenergy green level, aggregated digital green innovation resource level, bioenergy technology market development ability, co-operation mutual trust and cooperation aggregation degree.

This study helps to (1) construct the evaluation standard framework of digital green innovation capability based on the dual combination empowerment theory; (2) develop a new digital green innovation domain model for bioenergy enterprises to select digital green innovation partners; (3) assist bioenergy enterprises in implementing digital green innovation practices.

The link between supply chain agility (SCA) and performance has been tested in previous research with different samples and results. The present paper quantitatively analyses and summarises the impact of SCA on performance found in previous empirical papers and determines the influence of several identified moderators.

Using a meta-analysis approach based on a systematic literature review, a total of 63 empirical papers comprising a sample of 14,469 firms were meta-analysed to consider substantive (type of performance and SCA operationalisation) and extrinsic (economic region and industry) moderators.

Results confirm a significantly large, positive correlation between SCA and performance. None of the analysed moderators has enabled the identification of any significant differences between the SCA and performance correlations by subgroup. However, high heterogeneity in total variance, both in the full sample and the subgroups by moderator, demands further rigorously reported empirical research on this topic with clearly conceptualised variables and frameworks and the use of validated scales.

Several research gaps and best practice recommendations have been indicated to improve future empirical research on this topic.

Practitioners in different economic regions and industries will find consistent evidence of improvements in performance through SCA.

No meta-analysis has been found in previous research to estimate the value of the correlation between SCA and performance and the influence of moderating variables.

This study aims to explore the roles and relations of dynamic capabilities (DCs) and marketing capabilities (MCs) to generate firm performance through new empirical data from the automotive industry in an emerging market, Turkey, where volatile market conditions may compel firms to use both their DCs and MCs. The automotive industry dynamic character, which is shaped by fierce competition among car manufacturers, fluctuating customer demands and strong effect of environmental forces, provides an ideal context for examining the performance outcomes of MC and DC in non-static environments. This study aims to show whether better financial performance can be achieved through an integrated MC and DC framework; if the level of environmental dynamism (ED) influences the utilization of MCs; and the impact of MC and DC convergence on firm performance by using emerging market data, which is rare in the extant literature.

This paper empirically investigates the role of MCs on the relationship between DCs and firm performance and the effect of ED in marketing capability development through a study of 162 top level managers from the automotive industry in Turkey using multiple regression methods. A self-administered questionnaire was used to collect data. A maximum concern was given to obtain at least three questionnaires from each firm to minimize the risk of getting biased answers from only one manager.

The data were analyzed by the regression method, and the mediation and moderation tests were conducted to test the established hypotheses. The direct relationship between MCs and firm performance was examined through linear regression, and a significant relationship was found (ß = 0.408; t = 5.656; p < 0.001). Pricing (ß = 0.404; p < 0.001), marketing research (ß = 0.367; p < 0.001) and marketing strategy and implementation (ß = 0.336; p < 0.001) had the strongest association with firm performance. The mediating role of MC on the relationship between DC and firm performance was assessed, and the analysis result yielded a significant result (ß = 0.439; t = 6.174; p < 0.001). Finally, the moderating effect of ED on the direct relationship between MC and firm performance was assessed. Yet, the interaction term was insignificant (ß = 0.013; t = 0.103; p = 0.918) in predicting firm performance.

Although the data set covers a broad range of firms operating in the Turkish automotive industry, the generalization of findings should only be possible through obtaining fresh evidence from other emerging markets that possess the similar market characteristics of Turkey. The cross-sectional nature of the study may offer insights only for a certain period of time; thus, additional longitudinal studies are recommended to see the dynamic changes on the constructs and relationships between them. Future studies may also include qualitative methods, i.e. interviews with top managers to have a deeper understanding on how DC–MC interaction creates better performance.

This study empirically shows the importance of MCs for firm performance; thus, managers should allocate significant efforts and resources for improving MCs. The demand for the electric and even autonomous vehicles is likely to increase in the following years, and this new era in the automotive industry requires more R&D and innovation-based products, i.e. green vehicles with low carbon footprint, the use of robotics and long-life batteries for electric vehicles. The cost-related pricing may no longer be a competitive advantage for the firms in emerging markets such as Turkish automotive industry; thus, more investment for disruptive technologies should be considered.

The results show that MCs of firms mediated the relationship between DCs and economic performance. Yet, ED did not play a moderating role on the relationships between MCs and performance. It is concluded that DCs were associated with improved firm performance via MCs. Furthermore, the insignificant impact of ED on the development of MCs leading to better performance was explained by firms’ given over-performing efforts in the context of emerging markets.

The purpose of this study is to investigate the impact of the enabling performance measurement systems (PMS) on non-managerial employees’ team learning behaviours (TLB) and team effectiveness (TE) when the PMS is used as an enabler.

A questionnaire survey was conducted with non-managerial employees in Japan and a total sample of 474 responses were collected. Partial least squares structural equation modelling using Smart-PLS was used for the analysis.

The results demonstrated that the design feature of global transparency in enabling PMS contributes to the enhancement of TE, with partial mediation through TLB. Furthermore, it was also evident that fostering TLB involves increasing the flexibility in PMS, specifically offering multiple options for collecting and aggregating performance information in various formats.

By examining the effects of the four features of enabling controls on TE and TLB, this study shows which features in an enabling PMS are important in motivating non-managerial employees at the operational level. The study not only fills a gap on the impact of enabling controls on non-managerial employees that has been under-researched but also makes an academic contribution in that it has deepened our understanding of four features that have not yet been fully elucidated.