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Achieving innovation performance (IP) through high-performance work system (HPWS) remained relatively unexplored. Literature on the HPWS-IP linkage mechanism raises a question mark and highlights the existence of a black box. Therefore, the present study aimed to empirically fill the gap in the literature by developing a framework to theorize HPWS nexus with IP through serial mediation of intellectual capital (IC) and organizational ambidexterity (OA).

To answer the study questions survey-based, multi-source and time-lagged data were collected to examine the proposed model. SPSS 24 version was used to evaluate descriptive statistics and through Smart-PLS 3.32., partial least square structural equation modeling (PLS-SEM) was employed to test the study hypotheses.

Study findings indicate that HPWS not only has a significant direct impact on IP but also has a significant indirect relationship with IP through the mediation of IC and OA. Both IC and OA also mediated this relationship serially.

The originality of the study lies in the fact that it studied HPWS as an antecedent of IC and OA and IP as the consequence. Further, the study fills the knowledge gap in previous literature in which limited or no study has used the serial mediation model with two mediators particularly IC and OA to explore the relationship between HPWS and IP.

The purpose of this paper is to identify effective factors, their impact, and find estimation models of the most well-known productivity measurement, hours-per-vehicle (HPV), in the automotive industry in North American manufacturing plants.

Data used in this study were from North American plants that participated in the Harbour’s survey from 2002 to 2006. Data are synthesized using a uniform methodology from information supplied by the plants and supplemented with plant visits by Harbour Consulting auditors. Overall, there are 355 manufacturing plants in the statistical sample from ten different automakers’ brands including DCX, Ford, GM, Honda, Cami, Nummi, Auto Alliance, Mitsubishi, Nissan, and Toyota. The multiple linear regression was used to analyze the data and derive the HPV regression equations.

HPV is a widely recognized production performance indicator that is used by a significant percentage of worldwide automakers. During the study period, the HPV was reduced 54.75 minutes on average in each year. Annual production volume, platform sharing (PS), and flexible manufacturing (FM) factors improve HPV. However, vehicle variety, salaried employees’ percentage of the workforce, available annual working days, and launching a new model penalize HPV. Launching a new model and adding a new variety in body styles or chassis configurations raise the HPV about 2.189 and 0.642 hours, respectively, depending on the car class; however, manufacturing plants compensate for this issue by using PS and FM strategies.

The plants which stopped production of a specific product also are included in this study and were treated similar to the regular plants. The medium duty segment was excluded from the data set due to the fact that the number of observations available was too low. The study can be repeated with additional new factors such as the level of plants’ automation and lean manufacturing either for North American or European companies.

The research investigates current strategies that help automakers to enhance their production performance and reduce their productivity gap. HPV regression equations that are provided in this research may be used effectively to help car makers to set guidelines to improve their productivity with respect to internal and external constraints, strength, weakness, opportunities, and threats.

This study evaluates the two-way relationship between digital capabilities and market competitiveness along with the twofold mediation of circular economy, business model innovation (BMI) and energy policies based on the dynamic capability and ecological modernization theories.

Data were compiled through questionnaire-based survey from the top management of new ventures and evaluated through partial least squares structural equation modeling to find results.

The study discovered a two-way relationship between digital capabilities and market competitiveness among new ventures along with the twofold mediation of circular economy and BMI. Surprisingly, the energy policies have no twofold mediation.

The findings have important implications for policy and guide the practitioners to focus on digital efficiencies to attain higher competitive advantage in the light of environmental initiatives.

Although past research has paid wide attention to the defined factors, but to the best of the author’s knowledge, this is the first study in these domains.