HR managers’ talent philosophies: prevalence and relationships with perceived talent management practices

Abstract

HR managers have different beliefs about the nature, value, and instrumentality of talent—referred to as ‘talent philosophies’. In line with cognitive psychology, we reason that talent philosophies are similar to mental models that influence how HR managers interpret and use talent management (TM) practices within their organizations. In this article, we explore the prevalence of four different talent philosophies (exclusive/stable; exclusive/developable; inclusive/stable; inclusive/developable) in a sample of 321?HR managers. We then explore how talent philosophies relate to organizational context (i.e. size, ownership form, multinational orientation) as well as to HR managers’ perceptions of their organization’s TM practices. Cluster analysis corroborated the presence of the four talent philosophies in our dataset. All four talent philosophies were represented almost equally often in the overall dataset. Organizational size was found to be related to talent philosophies, such that HR managers who worked in smaller organizations were more likely to hold an inclusive talent philosophy. We also found support for the relationship between talent philosophies and perceptions of the exclusiveness or inclusiveness of the organization’s definition of talent, and its degree of workforce differentiation. Contrary to expectations, results did not support a link between talent philosophies and perceived talent identification criteria.     

The ethos of business students

Business schools are the “nurseries” of the corporate world. This article offers an empirical analysis of the business student ethos on the basis of research conducted at three Dutch universities. A theoretical framework in the tradition of virtue ethics and dubbed “moral ethology” is used to identify the values business schools convey to their students. The central research question is: What types of ethos do Dutch business students have? Forty-three undergraduate students participated in Q-methodological research, a mixed qualitative–quantitative small-sample method. Five different types of ethos were generated: Do-Good Managers, Market Managers, Searching Managers, Balancing Managers, and Radical Market Managers. Some general characteristics that apply to all the types of ethos were identified, such as the search for efficiency. It is argued that business schools should pay much more attention to the values that are endorsed in both life and business and should help students to address situations in which values are neglected.     

Opportunities and pitfalls for researchers to contribute to the design of evidence-based agricultural policies: lessons from Uganda

Agricultural policies in sub-Saharan Africa have paid insufficient attention to sustainable intensification. In Uganda, agricultural productivity has stagnated with aggregate increases in crop production being attributed to expansion of cultivated land area. To enhance sustainable crop intensification, the Ugandan Government collaborated with stakeholders to develop agricultural policies using an evidence-based approach. Previously, evidence-based decision-making tended to focus on the evidence base rather than evidence and its interactions within the broader policy context. We identify opportunities and pitfalls to strengthen science engagement in agricultural policy design by analysing the types of evidence required, and how it was shared and used during policy development. Qualitative tools captured stakeholders' perspectives of agricultural policies and their status in the policy cycle. Subsequent multi-level studies identified crop growth constraints and quantified yield gaps which were used to compute the economic analyses of policy options that subsequently contributed to sub-national program planning. The study identified a need to generate relevant evidence within a short time 'window' to influence policy design, power influence by different stakeholders and quality of stakeholder interaction. Opportunities for evidence integration surfaced at random phases of policy development due to researchers’ ’embededness’ within co-management and coordination structures.     

Microfoundations of companies' dynamic capabilities for environmentally sustainable innovation: Case study insights from high‐tech innovation in science‐based companies

To achieve sustainable development, companies are increasingly putting an emphasis on the creation and the promotion of environmentally sustainable innovations. Environmentally sustainable innovation often involves a significant shift in a new strategic direction. This paper studies this shift from a dynamic capabilities perspective and aims to identify the microfoundations of science‐based companies' dynamic capabilities for high‐tech environmentally sustainable innovations. It investigates the development of high‐tech environmentally sustainable innovations in two distinctive science‐based companies. To scholars, this study provides an in‐depth process analysis, over time, of how and why microfoundations of dynamic capabilities influence the development of a science‐based company's high‐tech environmentally sustainable innovations. To practitioners in science‐based firms, this process study can function as a frame of reference, enabling the tailoring of a strategy for high‐tech environmentally sustainable innovation.     

Nowcasting South African gross domestic product using a suite of statistical models

Given lags in the release of data, a central bank must ‘nowcast’ current gross domestic product (GDP) using available quarterly or higher frequency data to understand the current state of economic activity. This paper uses various statistical modelling techniques to draw on a large number of series to nowcast South African GDP. We also show that GDP volatility has increased markedly over the last 5 years, making GDP forecasting more difficult. We show that all the models developed, as well as the Reserve Bank's official forecasts, have tended to overestimate GDP growth over this period. However, several of the statistical nowcasting models we present in this paper provide competitive nowcasts relative to the official Reserve Bank and market analysts' nowcasts.     

Connecting strategic orientation,innovation strategy,and corporate sustainability: A model for sustainable development through stakeholder engagement

This paper aims to enhance our understanding of the relationship between organizations' strategic orientation (i.e., instrumental, equidistant, and stewardship) and their innovational strategy (i.e., organizational ambidexterity and open innovation), and this relationship's influence on their sustainability performance. We expected organizations' strategic orientation to influence their innovational strategy and exhibit better corporate sustainability. We focused on 12 different multinational organizations in the Eurozone and found that inbound open innovation acts as a driver for corporate sustainability while simultaneously positively enabling organizations to pursue both financial and social initiatives. After suggesting open innovation as a new corporate sustainability antecedent, we only found empirical evidence of inbound open innovation. However, we would suggest that if organizations incorporated outbound open innovation in their strategy, they could likely improve their corporate sustainability. Also, we found that achieving an equidistant or stewardship orientation paves the way for sustainability to become an integral part of an organization's innovational culture and actualizes the organization's strategic behavior. Our findings further contribute to a deeper understanding of organizations' characteristics as their sustainability commitment grows and as they move from an instrumental to a stewardship orientation and implement an open innovational strategy.     

Do data policy restrictions impact the productivity performance of firms and industries?

This paper examines how policies regulating the cross‐border movement and domestic use of electronic data on the internet impact the productivity of firms in sectors relying on electronic data. In doing so, we collect regulatory information on a group of developed economies and create an index that measures the regulatory restrictiveness of each country's data policies. The index is based on observable policy measures that explicitly inhibit the cross‐border movement and domestic use of data. Using cross‐country firm‐level and industry‐level data, we analyse econometrically the extent to which these data regulations over time impact the productivity performance of downstream firms and industries, respectively. We show that stricter data policies have a negative and significant impact on the performance of downstream firms in sectors reliant on electronic data. This adverse effect is stronger for countries with strong technology networks, for servicified firms, and holds for several robustness checks.