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This study sought to develop an aggregated assessment of the literature on the resource-based view (RBV). The main aim was to map the RBV field based on a systematic literature review (SLR) of 226 academic articles published in refereed journals from 1994 to 2022.

Two bibliometric analysis methods were used: bibliographic coupling and co-citation. These measures are complementary because bibliographic coupling is retrospective in nature and co-citation is forward-looking.

The analysis identified the most influential studies, top-cited articles and journals and six major thematic clusters: RBV, customer orientation and alliance portfolio, resource-based theory, firm performance, entrepreneurial orientation (EO) and dynamic capabilities.

This research was based on a combination of bibliographic coupling and co-citation analysis. The results provide a better understanding of the RBV field’s intellectual structure, which reveals potential new lines of future research.

This paper reviews the past 20 years of empirical research, based on the resource-based view (RBV) of the firm, in hospitality and tourism literature. There has been a significant increase in empirical RBV-grounded management research throughout the 2000s. However, to date, there has been no systematic assessment of the RBV in both qualitative and quantitative empirical hospitality and tourism literature. The purpose of the present paper, therefore, is to review and analyse the approaches employed in empirical hospitality and tourism research founded on the RBV, provide an overview and suggest how to further advance the RBV as a framework for future research.

The present study systematically reviews empirical RBV-based hospitality and tourism studies, published between 2000 and 2019. Through a well-defined and replicable inclusion/exclusion criterion, a sample of 122 studies was identified and reviewed.

It was found that while the RBV has received support in both quantitative and qualitative studies, the way in which researchers have utilised it in quantitative and qualitative research varies considerably in terms of the types of resource examined, the measurement variables used and the terminology/theoretical sub-stream employed. To increase the effectiveness of the RBV as a theoretical foundation in future research, its application needs to become more consistent across different studies, allowing for the development of a unified theory. Several shortcomings of the extant literature are identified, including the practical utility of the RBV; the tautology inherent in RBV-based research; the limited amount of qualitative research and the limited focus on industry contexts other than hotels, not to mention the current abundance of research with a Western perspective. These shortcomings lead to the suggestions for future research.

The implications raised in the present study are, firstly, the current body of hospitality and tourism literature founded on the RBV is lacking in certain areas, which highlights the need for further research. Secondly, the confusion arising from its tautologies have negatively impacted the usefulness of the RBV for researchers and practitioners alike. Finally, focusing on lower than firm-level competitive advantage will allow researchers to provide more meaningful recommendation to practitioners.

This is the first systematic review of both qualitative and quantitative hospitality and tourism research founded on the RBV. It provides an overview of this theory, with the aim of highlighting what has already been explored while aiding the further development of the theory in hospitality and tourism research.

It has been ten years since the policy was implemented, but the effect of the policy needs to be tested empirically. This paper aims to explore the mechanism of policy influence on regional innovation ability by measuring the effectiveness of policy by innovation ability indicators. Further, it reflects the problems in the process of the transformation and development of resource-based cities in recent years and points out the direction for the development of the cities in the future. In addition, this paper discusses the differences between regions and cities in China and seeks the path to narrow the gap.

This paper mainly uses the difference-in-difference method for the research. This study divided China’s resource-based cities and non-resource-based cities into experimental groups and control groups, and explored the effect of the transformation and development of resource-based cities and the changes of their innovation ability under the influence of the National Sustainable Development Plan for Resource-based Cities (NSDPRC). More carefully, this paper uses the fixed effects regression model, propensity score matching method, bootstrap method and other methods to improve the empirical results.

This paper finds that NSDPRC significantly improves the innovation ability of resource-based cities, although there is some lag in this effect. Research on the influence mechanism of policies shows that NSDPRC improves the marketization degree of resource-based cities and reduces the proportion of the secondary industry in such cities. Finally, the results of the heterogeneity analysis confirm that policies are more popular in western China and that resource-based cities in growth, maturity and decline are more vulnerable to policy influence. The development of policy effectiveness also requires the size of a city, and maintaining a healthy and reasonable scale is necessary for urban development.

First, the existing research on the development of resource-based cities is mainly from the perspective of economy and environment, but rarely from the perspective of innovation ability, and the index to measure urban development is relatively single. This paper will compensate for this deficiency. Second, different from the European and American countries that have basically completed the industrial transformation, the research on Chinese cities will provide a reference for the transformation of developing countries. Finally, from the perspective of resource endowment theory and innovation theory, this paper discusses the influence of SDPNRBC mechanism on the innovation ability improvement of resource-based cities, and further improves and enriches the theory.

Considering the emergence of e-commerce platforms and their integration into marketing channels, this paper aims to investigate how artificial intelligence (AI) resources – both technological and human – possessed by e-commerce platforms can enhance their channel power by acquiring market-based assets (relational and intellectual).

Based on resource-based theory and resource orchestration theory, the authors developed a framework tested using survey data gathered from the sellers, which incorporated six key variables: the e-commerce platform’s AI technology resources and human resources, rational and intellectual market-based assets, intraplatform competition and channel power. The analyses are performed using the regression analysis technique.

The empirical findings indicate that both technological and human AI resources are crucial in building channel power. In addition, market-based assets serve as a mediator in this relationship, while intraplatform competition moderates the effect of intellectual market-based assets on channel power negatively.

This study contributes to the existing literature by exploring how e-commerce platforms’ AI resources affect their channel power. The results offer valuable guidance to managers and researchers on optimizing AI resources to improve channel power.

The purpose of this study is to present the relationship between family support factors and Chinese college students’ online-startup thinking on live streaming platforms. Considering China's specific online entrepreneurial environment, this paper divides Chinese college students’ online-startup thinking according to the liberal–conservative thinking theory. This study classifies family support factors based on the tangible–intangible resource division theory. Different tangible and intangible factors have different impacts on their online-startup thinking.

This study tests 588 samples based on the partial least squares path modelling and variance-based structural equation modelling. This study promotes importance-performance map analysis to explore additional findings of influencing factors and provide suitable suggestions for Chinese college students and related departments.

Tangible family support factors, such as labour resources support, and intangible family support factors, such as verbal encouragement, can positively enhance Chinese college students’ liberal thinking to online-startup and decrease their conservative thinking. Meanwhile, according to importance-performance map analysis results, verbal encouragement from the intangible unit instead of financial resource support from the tangible unit has a higher total effect and performance on Chinese college students’ liberal thinking and conservative thinking.

This study draws on psychology research based on Chinese college students’ unique entrepreneurial mentality. This paper divides Chinese college students’ thinking in online-startups into liberal thinking and conservative thinking based on the liberal–conservative thinking theory. Meanwhile, according to the feature of Chinese family support factors, this paper classifies various elements based on the tangible–intangible resource division theory, which is helpful for scholars to understand that the student perceptions of the value of family support are critical to the success of the online-startup.

This study examines factors that influence organizations’ choices of an internal human capital development strategy and an external human capital acquisition strategy. The human resource architecture indicates that organizations will use different human capital acquisition strategies. Following the resource-based view, human capital theory and the human resource architecture, we examine factors that impact the choices of different human capital acquisition strategies.

We examine these important human capital decisions in the context of Major League Soccer. Data to test the hypotheses were collected from a variety of publicly available sources. We tested the hypotheses with regression analyses.

We find that while organizations employ both internal and external human capital strategies, organizations may have one dominant human capital strategy and the other strategy may be used to supplement the human capital needs of organizations. Additionally, our results indicate that organizations with an older workforce tend to use an internal human capital development strategy, while higher performing organizations are less likely to use an internal human capital development strategy.

This study makes contributions by examining the choices between internal and external human capital strategies and factors that influence the choice of an internal or external human capital strategy.

This research intends to develop a model for predicting employees at a high-risk attrition and identify the most important factors affecting them.

In this study, using the triangulation technique of a mixed research method, the employee attrition problem is investigated by identifying its affecting factors. For that matter, data related to the human resources department of a pharmaceutical company in Iran are used. And to achieve the intended goal, advanced data mining algorithms and interviews with human resource managers are applied.

A model for predicting employees at a high-risk attrition is presented based on the gradient boosting machine algorithm with 89% accuracy. The use of the mixed research approach shows that qualitative and quantitative methods can be more effective in identifying the factors affecting employee churn or loss of staff. The results also contain a new situation arising out of the COVID-19 pandemic and remote working scenarios having impact on employee attrition. Finally, human resource policies are presented based on variables related to each of the identified factors.

The novel contributions of this study include real data related to a leading pharmaceutical company as well as a combination of two quantitative and qualitative methods. The hybrid approach can identify the reasons for attrition and, consequently, retention policies to benefit from the advantage of both approaches. Data mining can be useful to identify the factors, which are usually not mentioned in termination interviews, such as direct managers. On the other hand, the results obtained from termination interviews can also include features that the authors cannot identify through data mining, which are specifically related to the characteristics of the pharmaceutical industry such as building a more professional career path. From a practical perspective, since this company specializes in pharmaceutical marketing in a new way and is primarily comprised graduates, it is important to note that the churn of specialized people disperses organizational and technological know-how. On the other hand, the pharmacist community in Iran is small, and their attrition might adversely affect not only the reputation of an organization but the employer's brand as well. So, this research would help other similar firms in retaining their valuable human capital.

The paper tries to investigate the impact of applications of the resource-based view (RBV) theory in the management field to improve the firm’s profitability. Global firms are innovating and adopting new technology, paving the way to improve their performance.

We have adopted RBV in management practices such as marketing, strategy, finance, and human resources.

RBV has gained researchers' attention with the growing competitive world and new challenges to retaining customers and achieving their pre-defined targets. We attempt to identify the issues related to the usage of RBV in management.

Using RBV in management may help researchers create a competitive mindset and be prepared for uncertain challenges in the business world.

The ongoing paradigm shift in the energy sector holds paramount implications for the realization of the sustainable development goals, encompassing critical domains such as resource optimization, environmental stewardship and workforce opportunities. Concurrently, this transformative trajectory within the power sector possesses a dual-edged nature; it may ameliorate certain challenges while accentuating others. In light of the burgeoning research stream on open innovation, this study aims to examine the intricate dynamics of knowledge-based industry-university-research networking, with an overarching objective to elucidate and calibrate the equilibrium of ambidextrous innovation within power systems.

The authors scrutinize the role of different innovation organizations in three innovation models: ambidextrous, exploitative and exploratory, and use a multiobjective decision analysis method-entropy weight TOPSIS. The research was conducted within the sphere of the power industry, and the authors mined data from the widely used PatSnap database.

Results show that the breadth of knowledge search and the strength of an organization’s direct relationships are crucial for ambidextrous innovation, with research institutions having the highest impact. In contrast, for exploitative innovation, depth of knowledge search, the number of R&D patents and the number of innovative products are paramount, with universities playing the most significant role. For exploratory innovation, the depth of knowledge search and the quality of two-mode network relations are vital, with research institutions yielding the best effect. Regional analysis reveals Beijing as the primary hub for ambidextrous and exploratory innovation organizations, while Jiangsu leads for exploitative innovation.

The study offers valuable implications to cope with the dynamic state of ambidextrous innovation performance of the entire power system. In light of the findings, the dynamic state of ambidextrous innovation performance within the power system can be adeptly managed. By emphasizing a balance between exploratory and exploitative strategies, stakeholders are better positioned to respond to evolving challenges and opportunities. Thus, the study offers pivotal guidance to ensure sustained adaptability and growth in the power sector’s innovation landscape.

The primary originality is to extend and refine the theoretical understanding of ambidextrous innovation within power systems. By integrating several theoretical frameworks, including social network theory, knowledge-based theory and resource-based theory, the authors enrich the theoretical landscape of power system ambidextrous innovation. Also, this inclusive examination of two-mode network structures, including the interplay between knowledge and cooperation networks, unveils the intricate interdependencies between these networks and the ambidextrous innovation of power systems. This approach significantly widens the theoretical parameters of innovation network research.

This study aims to investigate the impact of extensive board diversity on firm performance from the perspective of resource-based view (RBV) theory in the context of Pakistan.

The analyses are made using a panel random-effects model and generalized method of moment (GMM) across 188 non-financial firms listed in the Pakistan Stock Exchange (PSX) over the period of 2009–2020. The robustness of findings is checked through alternative measurements of the variables and alternative estimation techniques.

The results show that board members' nationality, ethnicity and educational level diversities are significantly positively related to firm performance. In contrast, age and educational background diversities negatively affect firm performance. However, gender and tenure diversities have an insignificant relationship with firm performance.

This study is conducted in the context of Pakistani firms; thus, the findings may not be generalizable to other economies because different economies have different institutional settings and governance structures.

The policy-makers should encourage the inclusion of board members' nationality, ethnicity and educational level diversities having relevant educational backgrounds to improve firms' competitive performance. The suggested structure of the corporate board may improve firm performance by attracting multiple stakeholders and fulfilling their expectations.

The appointment of a director should be based on merit rather than on political connections or personnel relationships to improve social welfare and avoid their negative impact on firm competitive performance.

To the best of the authors' knowledge, this is the first study that investigates the impact of board diversity on firm accounting-based performance and market-based performance in the emerging economy of Pakistan. This study uses RBV theory to provide a unique corporate governance structure based on board diversity, particularly in Pakistan.