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The HR function has been through a palette of names and identities, with talent management or human capital management being one more. There is a lack of consistency in the way that HR practitioners think about talent management and this is often the cause of credibility issues with business colleagues. The purpose of this paper is to identify core beliefs that underpin the practice of talent management if the function is to build credibility.

The paper identifies five core beliefs that should structure a discussion around, and underpin, the practice of talent management: notions of human capital management; questions about whether talent is generic or not; distinctions between talent management and HRM; decisions about who makes decisions about talent management; and moments of truth. It uses the case setting of Maersk to illustrate these beliefs and position the preferred conduct of talent management against them.

Organizations make distinctions between where good (not average) is “good enough” and where they need world-class talent to drive true competitive advantage. This capability perspective results in three different clusters of effort in terms of talent management. They manage investments so that they do not over-invest in less critical capabilities but can marshal scarce resources in areas where they need to be world class.

What is defined as talent in one setting might not be so in others. Strategies define capabilities and capabilities define talent. Attention must be given to all the other processes that support the deployment of talent to build specific organizational capabilities. As talent decisions are made by business leaders there needs to be a common mindset and decision-making logic for them to use. The 9 Box model is one such logic. Adopting any decision logic does not denote the outcome, rather it is how companies use the tool that determines the output.

The paper positions talent management within the strategic management discipline of business models and analysis of how organizations need to compete. It uses an industrial setting and professional experience base to link talent management to the wider management of organizational capabilities.

The highly unpredictable, complex, and dynamic business environment forces companies to innovate constantly. One organizational response to coping with environmental pressures is organizational ambidexterity, that is, the ability to pursue simultaneously the exploitation of existing capabilities and the exploration of new opportunities. It has an impact on the way of working, and consequently, organizations need to reevaluate their talent strategies. With this conceptual contribution, we first provide a fresh view on talent and talent management (TM) by suggesting an ambidextrous TM approach, including novel TM practices that have been rather neglected in the so far dominant traditional TM approach. It centers on the system-controlling element of an ambidextrous mindset. Second, in a theory-based framework, we explain how dynamic TM capabilities (hybrid, dual, and ambidextrous TM), which represent processes for deploying, developing, and shaping talent, can contribute to gaining competitive advantages in various ambidextrous structures reflecting the complexity and dynamism of and within human resource (HR) ecosystems. The authors advance the under-researched process perspective on TM by using the lenses of the HR ecosystems discussion, insights from a dynamic view on the person–environment fit, and dynamic capabilities. The authors conclude with a broad agenda for future research in TM in dynamic environments.

The emerging attention in big data has led businesses to improve big data analytics talent capability to enrich firm performance. The big data capability pays off for some companies but not for all, and it appears that very few have achieved a big impact through big data. Rooted in the latest literature on the knowledge-based view, IT capability, big data talent capability and business intelligence, this study aims to examine how big data talent capability impact on business intelligence infrastructure to achieve firm performance.

The primary survey data of 272 IT managers and big data analysts from Chinese firms was analyzed by using the structural equation modeling and partial least squares (Smart PLS 3.0). The analysis uncovers a positive and significant relationship in the proposed model.

The finding shows that the big data analytics talent capability positively impacts on business intelligence infrastructure that in turn directs to achieve firm financial and marketing performance.

This study theorized on the multitheoretic lenses, and findings suggest the managers and industry practitioners to develop business intelligence infrastructure capabilities from big data analytics talent capability.

The purpose of this article is to discuss succession management within the context of talent management, with specific reference to the role of talent reviews in the identification, development and retention of potential successors for critical job roles at different organizational levels.

The article utilizes a case study of talent reviews from a Saudi Arabian mining company, explores the different succession management approaches and highlights emerging best practice solutions in the field. In the case study, the primary task was to evaluate a sample of 59 executives and senior managers against the company's leadership competency framework in order to support them in a structured career development process within the context of the company's talent strategy.

The main findings indicate that the sample's strategic thinking ability and leadership skills are generally weak and that the current leadership capabilities might not be aligned with the company's growth strategy.

To enhance the talent review process, companies should: apply additional measures to develop a more complete picture of individual capability; fast‐track the talent review process; create a talent score card; review selection practice; determine retention risk by means of a risk‐criticality analyses; and implement individual conversations about performance and career development.

The article has found that talent review is a powerful intervention tool that helps to identify high‐potential employees and future leaders, determine bench strength at a specific level and identify talent gaps, organizational capability and risks. This study contributes to the practice of strategic human resources management with implications for succession management.

This study is undertaken to examine the antecedents and role of big data decision-making capabilities toward decision-making quality and environmental performance among the Chinese public and private hospitals. It also examined the moderating effect of big data governance that was almost ignored in previous studies.

The target population consisted of managerial employees (IT experts and executives) in hospitals. Data collected using a survey questionnaire from 752 respondents (374 respondents from public hospitals and 378 respondents from private hospitals) was subjected to PLS-SEM for analysis.

Findings revealed that data management challenges (leadership focus, talent management, technology and organizational culture for big data) are significant antecedents for big data decision-making capabilities in both public and private hospitals. Moreover, it was also found that big data decision-making capabilities played a key role to improve the decision-making quality (effectiveness and efficiency), which positively contribute toward environmental performance in public and private hospitals of China. Public hospitals are playing greater attention to big data management for the sake of quality decision-making and environmental performance than private hospitals.

This study provides guidelines required by hospitals to strengthen their big data capabilities to improve decision-making quality and environmental performance.

The proposed model provides an insight look at the dynamic capabilities theory in the domain of big data management to tackle the environmental issues in hospitals. The current study is the novel addition in the literature, and it identifies that big data capabilities are envisioned to be a game-changer player in effective decision-making and to improve the environmental performance in health sector.

This study aimed to investigate the impact of e-commerce capabilities on agricultural firms’ performance gains through organizational agility.

A survey was used to collect data from 280 managers of agricultural firms. The proposed model was tested via structural equation modeling.

The empirical results indicated that organizational agility plays a mediating role in conveying the positive influences of e-commerce capabilities on agricultural firms’ performance gains. Specifically, managerial, talent and technical capabilities have different effects on market capitalization and operational adjustment agility, with talent capability performing the most important role. Market capitalization and operational adjustment agility have positive impacts on financial and nonfinancial performance gains, respectively.

This study provides a new framework to understand the relationships between e-commerce capabilities, organizational agility and agricultural firms’ performance gains.

This article seeks to provide a theoretical framework for facilitating talent management decisions in the music industry.

Strategic decision‐making theory and the resource‐based view of strategy are used to identify the talent‐selection process as a core capability in the entertainment industry. Their original combination leads to the introduction of a framework aimed at facilitating the selection and development of core competencies and capabilities in music companies, and thus at increasing their likelihood of creating and sustaining a competitive advantage based on their artist selection processes.

The integration of both theories in the music sector leads to the need for the organisation's ability to “improvise” and develop “skilled decision makers”. The industry is identified as an atypical high velocity environment, in which incremental approaches may not be sufficient to adopt by managers, because artist investments usually represent long‐term commitments for the firm. Three different existing types of talent valuation techniques are identified, which can be facilitated by complementing resource‐based and decision‐making perspectives.

The paper does not discuss differences in the types of music organisations such as publishers, record companies, labels etc. Moreover, it focuses on popular music in general only. Empirical testing of the proposed findings is needed to further validate the capability framework.

The framework provides a managerial guideline for implementing decision models in the music industry and increasing the success rate of artist selection.

The paper uses the specific context of the music industry to introduce a methodology of how organisational decision processes may eventually lead to a sustainable competitive advantage. It provides a starting point for linking resource‐based and strategic decision‐making theory, since it indicates how decision models should be developed from a core capability perspective.

Contrasting local adaptation, which focusses on foreign multinationals learning about and adapting to local (host country) culture and environment, reverse adaptation refers to the case where an MNE’s local employees learn, assimilate and modify their personal behavior (e.g. values, norms) and professional competence (e.g. standards, goals, language, knowledge, capabilities) in order to fit the MNE’s global mindset and global competence set so that they can be internationally reassigned. The purpose of this paper is to take the first step toward addressing this nascent phenomenon and practice.

This study uses combined inductive and ethnographic methods to explore the importance, process and practice of reverse innovation. This study defines reverse adaptation, illustrates the major driving forces underlying reverse adaptation, and suggests how MNEs should prepare for it. As reverse adaptation is a promising area for research, this paper also proposes a research agenda for international management scholars.

MNEs need to act at both local and global levels in a way that recognizes the interdependence between the two. Too often global companies have approached their local talent needs in an uncoordinated and unproductive way. Reverse adaptation view suggests that MNEs can create a competitive advantage by taking a global approach to talent. Cultivating and transforming local talent to become global talent necessitates endeavor from a wide range of corporate, subsidiary and individual levels, in cultural, professional, structural, informational and organizational aspects.

Reverse adaptation is a promising area of research because it provides the opportunity to enrich mainstream theories and literatures in a number of areas. This nascent phenomenon has not yet been studied, and this paper represents the first effort to do so. From both academic and practice viewpoints, reverse adaptation has a significant impact on global talent management, knowledge flow across borders, capability catchup and global integration design. Today’s glocalized business world, with heightened integration of world economy, creates an expectation for the continuing growth of reverse adaptation.

Big data analytics capabilities are the driving force and deemed as an operational excellence approach to improving the green supply chain performance in the post COVID-19 situation. Motivated by the COVID-19 epidemic and the problems it poses to the supply chain's long-term viability, this study used dynamic capabilities theory as a foundation to assess the imperative role of big data analytics capabilities (management, talent and technological) toward green supply chain performance.

This study was quantitative and cross-sectional. Data were collected from 374 executives through a survey questionnaire method by applying an appropriate random sampling technique. The authors employed PLS-SEM to analyze the data.

The findings revealed that big data analytics capabilities play a significant role in boosting up sustainable supply chain performance. It was found that big data analytics capabilities significantly contributed to supply chain risk management and innovative green product development that ultimately enhanced innovation and learning performance. Moreover, innovation and green learning performance has a significant and positive relationship with sustainable supply chain performance. In the post COVID-19 situation, organizations can enhance their sustainable supply chain performance by giving extra attention to big data analytics capabilities and supply chain risk and innovativeness.

The paper specifically emphasizes on the factors that result in the sustainability in supply chain integrated with the big data analytics. Additionally, it offers the boundary condition for gaining the sustainable supply chain management.

This paper aims to examine the ethics of authentic talent development in socioeconomic context by considering a set of alternative ethical frameworks. It juxtaposes the ideals of civic virtue, which involve a concern for the common good, with the reality that socioeconomic deprivation and sociocultural practices severely constrain talent development opportunities and choice.

The paper draws on several frameworks complementary to the ideals of civic virtue – the basic goods approach, human capital theory, the capabilities approach and the ethic of care – to elucidate the barriers to talent development embodied in sociocultural context, as well as policy and institutional practices to overcoming these barriers.

While multiple ethical frameworks are necessary to fully capture the issues related to authentic talent development in socioeconomic context, a focus on the ethic of care and basic goods provision is an important starting point. There are also a few fundamental starting points for human resource development in responding to ethical concerns regarding authentic talent development.

While the prevailing approach to talent development is implicitly based on a logic of social identity ascription, this paper promotes an alternative approach based on the ethics of civic virtue. While the former is oriented to the support of social hierarchies based on identity, the latter is oriented to fostering both social and human well-being via choice and authentic talent development.