The returns to general experience,job and occupational tenure: a study using Australian panel data

This article uses Australian panel data for the years 2001–2009 to estimate returns to general experience, job and occupational tenure. We pay particular attention to issues of unobserved heterogeneity bias in our estimations. We find that both general experience and occupational tenure have statistically and numerically significant effects on wage outcomes, even after controlling for unobserved heterogeneity. Job tenure on the other hand only seems to matter in OLS regressions that do not control for heterogeneity biases. Once these biases are controlled for, only a modest effect from job tenure remains. The inclusion of occupational tenure in the estimating equation tends to negate even this modest job tenure effect. The only exception to this is for workers in large organizations. For these workers a small but statistically significant effect from job tenure remains, even once we have controlled for heterogeneity and included occupational tenure in the estimating equation. The results reported in this article have implications for the various theories of the labour market that predict upward-sloping wage-job-tenure profiles.     

Normative Self-Interest or Moral Hypocrisy?: The Importance of Context

We re-examine the construct of Moral Hypocrisy from the perspective of normative self-interest. Arguing that some degree of self-interest is culturally acceptable and indeed expected, we postulate that a pattern of behavior is more indicative of moral hypocrisy than a single action. Contrary to previous findings, our results indicate that a significant majority of subjects (N = 136) exhibited fair behavior, and that ideals of caring and fairness, when measured in context of the scenario, were predictive of those behaviors. Moreover, measures of Individualism/Collectivism appear more predictive of self-interested behavior than out-of-context responses to moral ideals. Implications for research and practice are discussed. George W. Watson received his Ph.D. from Virginia Tech, his M.B.A. from California State at Fullerton, an M.S. in Systems Management from the Naval Postgraduate School in Monterey, an a B.A. in Business Administration from the University of Washington, Seattle. His teaching focus is on corporate social responsibility and ethics. Dr.Watson’s current research interests include moral psychology,ethical decision making, and ideology. He has published in Business Ethics Quarterly, Business and Society, and the Journal of Business Ethics. Farooq Sheikh received his BS in Physics from Indiana University of Pennsylvania, and his Ph.D. from Smeal College of Business, Penn State University. He is currently Assistant Professor of Operations Management, School of Business at the State University of New York at Geneseo. Dr. Sheik’s research interests include rational and behavioral models in business operations, bounded-rational behavioral models in population games, social norms, game theory and cross-disciplinary research involving behavioral models.     

Gaining from disorder: Making the case for antifragility in purchasing and supply chain management

The purchasing and supply chain management (P&SCM) discipline assumes that supply chains are fragile systems, hence taking a “negative” approach toward disorder. Building on Taleb’s concept of antifragility—the ability to gain from disorder rather than avoiding it—, we challenge this traditional assumption. The COVID-19 pandemic has revealed that some companies were indeed able to gain from disorder, whereas some of those that focused too much on robustness and resilience lost ground. Building robust and resilient supply chains may no longer be enough to thrive in today’s highly volatile business world. This article sparks a new debate by introducing antifragility to the P&SCM literature and provides new directions for future research.     

Will AI ever sit at the C-suite table? The future of senior leadership

As the sophistication of artificial intelligence (AI) systems develop and AI becomes a key element of organizational strategy across a wide spectrum of industries, new demands are being placed on senior leaders. To understand the growing challenges leaders will face in the age of AI, we conducted interviews with 33 senior leaders in several countries across a wide range of industries. Our research highlights key capabilities and skills that leaders will require. Underlying these capabilities is a mindset oriented toward continuous learning and self-development, which will enable ongoing and rapid adaptation to change. Our findings identified the following key capabilities: digital know-how, data-driven focus, networking, ethics, and agility. To successfully navigate the coming era, senior leaders will need to focus on reskilling the workforce, recruiting and retaining highly skilled talent, building an intrapreneurial culture, and managing unprecedented changes in technologies and the nature of work.     

Balancing dominance: Diagnosing the buyer-supplier relationship

There is often more than meets the eye in any relationship—especially business relationships. Using the author's “stability matrix” can help you find out just where you stand with your customers or suppliers and where things might be headed.     

Debreu-like properties of utility representations

Traditionally the codomain of a utility function is the set of real numbers. This choice has the advantage of ensuring the existence of a continuous representation but does not allow to represent many preference structures that are relevant to utility theory. Recently, some authors have started a systematic study of utility representations that are not real-valued, introducing the notion of a Debreu chain. We continue their analysis defining two Debreu-like properties, which are connected to a local continuity of a utility representation. The classes of locally Debreu and pointwise Debreu chains here introduced enlarge the class of Debreu chains. We give several examples and analyze some properties of these two classes of chains, with particular attention to lexicographic products.