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This paper seeks to apply the dynamic capability framework to explore why store managers within the same chain of restaurants perform differently. Specifically, this paper argues that knowledge resources and learning mechanisms are critical to the development of dynamic capabilities.

The approach takes the form of an empirical data analysis. Hypotheses are tested on 132 store managers in a leading fast‐food restaurant chain in Taiwan.

The findings indicate that dynamic capabilities increase store performance, and that both knowledge resources and learning mechanisms have a positive effect on dynamic capabilities. In addition, the effect of knowledge resources on dynamic capabilities is partially mediated by the type of learning mechanism.

Store managers must be able to develop dynamic capabilities if they are to deal with the rapidly changing environment they are facing. Knowledge resources and learning mechanisms both improve the development of dynamic capabilities.

This paper conceptualizes and empirically tests the relationships between knowledge resources, learning mechanisms, dynamic capabilities, and performance in the restaurants of a fast‐food chain. In addition, this paper investigates how dynamic capabilities work from a process perceptive by examining the mediation effect of the learning mechanisms.

With technological innovation elements and the competitive market environment becoming increasingly complex, numerous firms utilize network embeddedness to achieve and sustain innovation. However, empirical research has not conclusively established which form of network embeddedness more effectively facilitates corporate innovation. Drawing on the heterogeneous network resources perspective, this study explores the impact of market network embeddedness, technology network embeddedness and their synergy on the green innovation performance of manufacturing small and medium-sized enterprises (SMEs). Furthermore, it investigates the moderating role of resource orchestration capability in these relationships.

Through an online questionnaire survey of Chinese manufacturing SMEs, 293 sample data were collected, and the hierarchical regression analysis was conducted to test the hypothesis.

The results indicate that market and technology network embeddedness significantly enhance green innovation performance, with the former exerting a more significant impact. Furthermore, the synergy between market and technology network embeddedness positively influences green innovation performance. Additionally, resource orchestration capability strengthens the positive effects of both market and technology network embeddedness on green innovation performance, while the moderating effect of resource orchestration capability on the relationship between the synergy of the two and green innovation performance was insignificant.

The study faced many limitations, such as collecting primary data, which relied on a questionnaire only, using cross-sectional data and examining only manufacturing SMEs.

Based on the heterogeneous network resources perspective and integrating social network theory and resource orchestration theory, this study explores the impact of network embeddedness on the green innovation performance of manufacturing SMEs, which sheds new light on the network embeddedness research framework and also enriches the antecedents of green innovation. In addition, this study provides implications on how manufacturing SMEs effectively utilize network embeddedness and resource orchestration capability to enhance green innovation performance.

The purpose of this paper is to identify different types of resource and capability configurations among Hungarian family and nonfamily firms and explore which compositions can be considered competitive. In a rivalrous, dynamic world, understanding which sets of resources and capabilities lead to a higher level of competitiveness is vital.

This paper is based on a quantitative competitiveness survey carried out between November 2018 and July 2019 in Hungary. The authors used the Firm Competitiveness Index (FCI) to measure competitiveness and the resource-based view (RBV) approach to understand which configurations of resources and capabilities are responsible for a higher level of competitiveness based on 32 variables. An exploratory factor and cluster analysis were conducted to analyze the ownership's effect on firm competitiveness. The final sample size contained 111 companies, of which 53 were identified as family and 58 as nonfamily firms.

Factor analysis reveals five factors determining resources and capabilities: “operational,” “leadership,” “knowledge management,” “transformation” and “networking.” Based on these factors, the cluster analysis identified five groups in terms of types of family and nonfamily firms: “Lagging capabilities,” “Knowledge-based leadership,” “Innovativeness and transformation-oriented management,” “Relationship-oriented management” and “Business operation-oriented management.” Results show that nonfamily businesses focus on operational and leadership capabilities, reaching a higher FCI than family businesses, which are likely to invest more in their networking, transformation and knowledge management capabilities.

By defining the different configurations family and nonfamily firms rely on to reach competitiveness, the paper applies an essential element to the Hungarian and Middle Eastern European contexts of family business research. The findings contribute to developing family business literature and point out specific resources and capabilities family firms should focus on to shift toward reaching a higher level of professionalization and competitiveness. The characterization of different types of competitiveness comparing family and nonfamily firms enables the firms to assess customized implications.

The purpose of this research is to conceptualize, define and measure resource orchestration capabilities of R&D teams pursuing advanced scientific research and technological innovation at public-funded R&D organizations in India.

A series of five mutually exclusive studies were designed over two years to develop and validate the ROCI scale within public research and development (R&D) organizations pursuing advanced scientific research and technological development in India. The first three studies address the refinement, reduction and rationalization of items for measuring the ROCI construct. The next study explores the factor structure underlying the ROCI construct whereas the subsequent one confirms the three-factor structure within empirical settings.

The resource orchestration capability towards innovation (ROCI) construct reflected through three sub-dimensions namely – adaptive structuring capability (ASC), synergistic leveraging capability (SLC) and decentralized decision-making capability (DDC), each loaded with their respective items can be used for capability measurement in public-funded R&D organizations.

R&D managers can use this ROCI scale to measure, monitor and improve the innovation-oriented resource orchestration capabilities of their R&D teams and help them improve their innovation performance.

This research contributes to the extant literature on resource orchestration for innovation management in three unique and original ways – theoretically-grounded conceptualization, empirical measurement and rigorous validation through multiple studies conducted in public-funded R&D organizations in India.

The purpose of this study is to advance the understanding of resource orchestration in inter-firm partnerships that appropriately configure and align strategic cross-firm supply chain resources and capabilities generating synergies to deliver superior performance.

Applying the resource orchestration logic, supported by the relational view of competitive advantage, the study draws from an empirical analysis of survey data from 152 top-level executives of US manufacturing firms to investigate the effect of leveraging and coherently combining cross-firm supply chain resources with capabilities on operational performance.

The study underscores the view that appropriately orchestrated combinations of key partnership resources and capabilities as mechanisms for marketing strategy implementation, enhance performance. Specifically, research results suggest that complementary inter-firm resources and lean align, and similarly idiosyncratic resources and agility align synergistically to deliver superior operational performance outcomes. The results also accent partnership responses to intense competition, enabling enhanced operational performance. The findings thus enrich the understanding of the resource orchestration logic and strategy, making important theoretical contributions.

As is typical in marketing and strategy research, the study research design has a cross-sectional framework, thus limiting insights on the resource orchestration dynamics that can otherwise be generated using a longitudinal design. Also, the resource orchestration stream is still nascent. Further research is needed to delineate the orchestration mechanisms that deliver on performance outcomes, especially in supply chains.

A key insight for supply chain and marketing managers is that close-knit inter-firm partnerships are critical for accessing idiosyncratic and complementary resources that can be configured and symbiotically aligned with market-facing agility and lean capabilities, respectively, to deliver market value. Proactive partnerships, especially in highly competitive and disruptive environments, enable mobilizing cross-firm resources and building appropriate matching combinations with capabilities to deliver on operational performance.

The study, guided by theory, advances the understanding of how key cross-firm resources and capabilities deliver performance gains. The key to competitive advantage and enhanced performance outcomes may lie in acquiring, leveraging and deploying appropriately matched resource-capability combinations. The present study investigates this proposition within the context of supply chain partnerships, focusing on cross-firm resources and capabilities.

This paper investigated the organizational adoption of big data analytics (BDA) in the context of supply chain planning (SCP) to conceptualize how resources are orchestrated for organizational BDA adoption and to elucidate how resources and capabilities intervene with the resource management process during BDA adoption.

This research elaborated on the resource orchestration theory and technology innovation adoption literature to shed light on BDA adoption with multiple case studies.

A framework for the resource orchestration process in BDA adoption is presented. The authors associated the development and deployment of relevant individual, technological and organizational resources and capabilities with the phases of organizational BDA adoption and implementation. The authors highlighted that organizational BDA adoption can be initiated before consolidating the full resource portfolio. Resource acquisition, capability development and internalization of competences can take place alongside BDA adoption through structured processes and governance mechanisms.

A relevant discussion identifying the capability gap and provides insight into potential paths of organizational BDA adoption is presented.

The authors call for attention from policymakers and academics to reflect on the changes in the expected capabilities of supply chain planners to facilitate industry-wide BDA transition.

This study opens the black box of organizational BDA adoption by emphasizing and scrutinizing the role of resource management actions.

Based on the dynamic capability theory, our study tries to explore the mediator mechanism of service supply chain dynamic capability between market orientation and service innovation performance, as well as the boundary conditions in which service supply chain dynamic capability plays a role, in order to reveal the key elements and their mechanisms for manufacturing enterprises to improve service performance.

With a total of 317 valid questionnaires, structural equation modeling (SEM) was used to test the research model and hypotheses.

The empirical results confirm that the three types of service supply chain dynamic capability (environment insight capability, resource integration capability and resource reconfiguration capability) can partially mediate the relationship between firm market orientation (responsive and proactive market orientations) and service innovation performance. In addition, supply chain collaboration has different types of moderator effects on the relationship between the three types of service supply chain dynamic capability and service innovation performance.

This research discovers that market orientation and dynamic capability are the key factors leading to high service performance and reveals the mediating role of service supply chain dynamic capability between market orientation and service innovation performance. Moreover, this research explores the moderating role of supply chain collaboration in service supply chain resource reconfiguration capability and service innovation performance.

Imitative innovation, defined as applying innovation in the same way in another organization, has been adopted by many companies. This paper seeks to focus on how a competent follower of R&D capability can employ such an innovative strategy and minimize risk by using existing organizational resources to enhance innovation capabilities.

An in‐depth case study is applied of resource management experience at a Taiwanese optical storage media manufacturing outlet and then the Sirmon resource management model is extended to offer a process model for imitative innovation capability development.

The imitative innovation process is deconstructed into four phases and three main sub‐processes for effective resource management, namely, structuring, bundling and leveraging activities. The study also found that there are four modes of effective resource management for a successful imitative innovation process: identifying position and confirming innovation strategy; examining core competences and exploring gaps in imitative innovation; deploying specific resources and complementary assets; and restructuring an industry's ecological environment.

The study offers researchers and practitioners a more detailed view of applicable resource management for successful imitative innovation.

This paper aims to investigate the applicability of Grant’s framework in the current changing and dynamic environment.

In this paper, a critical review of Grant’s paper was conducted to identify the limitations and weaknesses of the framework, which prevent its effective application in the current digital age.

As a result, this paper presented a modified framework and four propositions to consider dynamic capabilities in the new turbulent environment and extend the relationships between a firm’s resources, capabilities, dynamic capabilities, competitive advantage and competitive strategy. Findings tied to this initiative will provide important contributions to research.

Rooted in resource-based view (RBV), the proposed framework puts forward a valid theoretical foundation on how to create a competitive advantage from a firm’s internal factors, including strategic resources, capabilities and dynamic capabilities. Furthermore, it contributes to RBV literature by considering dynamic capabilities, as the firms’ most crucial factors in the current dynamic digital market.

The purpose of the present study is to investigate the antecedents of export performance and branding advantage, as a key type of competitive advantage in export markets among entrepreneurs and managers of agri-food exporters.

A sample of entrepreneurs from 182 exporting firms of the agriculture and food industry participated in a cross-sectional survey. The data were collected by a self-reporting questionnaire and partial least squares were used to analyse the data and assess the path model.

Results revealed that experiential resources strongly promote communication capabilities. Also, communication, distribution and product development capabilities contribute to the creation of the branding advantage in export markets. In addition, a positive relationship between the branding advantage and export performance of agri-food products is confirmed.

The study targets exporters of agri-food products. Hence, the results should be interpreted regarding the context of low-technology firms. Further, this paper delineates branding advantage considerations that managers need to account for to achieve effective exporting. Practitioners can efficaciously exploit resources to achieve a competitive advantage, considering that they focus on building capabilities, and in particular, communication capabilities.

The present study highlights the role of the branding advantage as an important type of competitive advantage in international entrepreneurship and export markets. It attempts to examine the combined relationships of resources and capabilities with branding advantage and export performance.